{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2992d774",
   "metadata": {},
   "source": [
    "# 上周回顾：实践 face++ 人脸检测/face detect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b8eac080",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "66f98217",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. url\n",
    "base_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'\n",
    "\n",
    "\n",
    "# 2. api账户/通行证\n",
    "API_key = 'DxRNO2q3i_O9UJyoYvAgM14E_yeG2esC'\n",
    "API_secret = 'iQ52sLz3bfNML4ptN1zgUovlQLOpz6ed'\n",
    "\n",
    "# 3. POST\n",
    "\n",
    "\n",
    "# 4. 所有 API Key 都可以调用本 API。\n",
    "#    其中 calculate_all 和 face_rectangle 参数只有正式 API Key 才能使用，试用 API Key 无法使用。\n",
    "\n",
    "# 5. payload： 酬载, 必要阅读api文档中的 *必选项* 和 *可选性*，及 *参数说明*\n",
    "payload = {\n",
    "    'api_key':API_key,\n",
    "    'api_secret':API_secret,\n",
    "    'image_url':'https://tse1-mm.cn.bing.net/th/id/OIP-C.HPWFQ7UDQh93EKcDmiUQ_wHaIR?w=176&h=197&c=7&r=0&o=5&dpr=2&pid=1.7'    \n",
    "}\n",
    "\n",
    "r = requests.post(base_url, params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6244fe3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "160a4426",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648365436,e15b2042-e53b-4e59-8a2f-f95a735033e7',\n",
       " 'time_used': 171,\n",
       " 'faces': [{'face_token': 'ec6999936b0b88326670116b0e7ce50b',\n",
       "   'face_rectangle': {'top': 108, 'left': 141, 'width': 107, 'height': 107}}],\n",
       " 'image_id': 'JoYdaZ0h1hGb4ih1d2EZVw==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6fdca1cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "face_detect = r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "caeba764",
   "metadata": {},
   "outputs": [],
   "source": [
    "face_tokens = face_detect['faces'][0]['face_token']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c4440849",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ec6999936b0b88326670116b0e7ce50b'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face_tokens"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae91c01c",
   "metadata": {},
   "source": [
    "# 人脸分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f35180d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. url \n",
    "Analyze_base_url = \"https://api-cn.faceplusplus.com/facepp/v3/face/analyze\"\n",
    "\n",
    "# 2. api账户/通行证\n",
    "API_key = 'DxRNO2q3i_O9UJyoYvAgM14E_yeG2esC'\n",
    "API_secret = 'iQ52sLz3bfNML4ptN1zgUovlQLOpz6ed'\n",
    "\n",
    "# 3 POST\n",
    "\n",
    "# 4. 权限：所有 API Key 都可以调用本 API\n",
    "\n",
    "# 5. payload： 酬载, 必要阅读api文档中的 *必选项* 和 *可选性*，及 *参数说明*\n",
    "payload = {\n",
    "    'api_key':API_key,\n",
    "    'api_secret':API_secret,\n",
    "    'face_tokens':face_tokens,\n",
    "    'return_attributes':'gender,age,smiling,headpose,facequality,blur,eyestatus,emotion,beauty,mouthstatus,eyegaze,skinstatus',\n",
    "    'beauty_score_min':0,\n",
    "    'beauty_score_max':100\n",
    "    \n",
    "}\n",
    "\n",
    "# 6. requests\n",
    "\n",
    "r_analyze = requests.post(url = Analyze_base_url, params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "601a926b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_analyze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4660521e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'time_used': 156,\n",
       " 'request_id': '1648365442,68448686-fcbf-408b-8ad3-599296ae403c',\n",
       " 'faces': [{'attributes': {'emotion': {'sadness': 0.681,\n",
       "     'neutral': 0.007,\n",
       "     'disgust': 1.213,\n",
       "     'anger': 0.007,\n",
       "     'surprise': 0.009,\n",
       "     'fear': 0.112,\n",
       "     'happiness': 97.97},\n",
       "    'beauty': {'female_score': 56.631, 'male_score': 56.694},\n",
       "    'gender': {'value': 'Male'},\n",
       "    'age': {'value': 53},\n",
       "    'mouthstatus': {'close': 0.0,\n",
       "     'surgical_mask_or_respirator': 0.0,\n",
       "     'open': 100.0,\n",
       "     'other_occlusion': 0.0},\n",
       "    'glass': {'value': 'None'},\n",
       "    'skinstatus': {'dark_circle': 1.982,\n",
       "     'stain': 12.624,\n",
       "     'acne': 0.634,\n",
       "     'health': 9.525},\n",
       "    'headpose': {'yaw_angle': 0.004189467,\n",
       "     'pitch_angle': 16.763775,\n",
       "     'roll_angle': 2.3050764},\n",
       "    'blur': {'blurness': {'threshold': 50.0, 'value': 0.364},\n",
       "     'motionblur': {'threshold': 50.0, 'value': 0.364},\n",
       "     'gaussianblur': {'threshold': 50.0, 'value': 0.364}},\n",
       "    'smile': {'threshold': 50.0, 'value': 100.0},\n",
       "    'eyestatus': {'left_eye_status': {'normal_glass_eye_open': 0.002,\n",
       "      'no_glass_eye_close': 0.0,\n",
       "      'occlusion': 0.0,\n",
       "      'no_glass_eye_open': 99.998,\n",
       "      'normal_glass_eye_close': 0.0,\n",
       "      'dark_glasses': 0.0},\n",
       "     'right_eye_status': {'normal_glass_eye_open': 0.031,\n",
       "      'no_glass_eye_close': 0.0,\n",
       "      'occlusion': 0.008,\n",
       "      'no_glass_eye_open': 99.961,\n",
       "      'normal_glass_eye_close': 0.0,\n",
       "      'dark_glasses': 0.0}},\n",
       "    'facequality': {'threshold': 70.1, 'value': 85.658},\n",
       "    'eyegaze': {'right_eye_gaze': {'position_x_coordinate': 0.468,\n",
       "      'vector_z_component': 0.944,\n",
       "      'vector_x_component': -0.054,\n",
       "      'vector_y_component': 0.325,\n",
       "      'position_y_coordinate': 0.443},\n",
       "     'left_eye_gaze': {'position_x_coordinate': 0.506,\n",
       "      'vector_z_component': 0.948,\n",
       "      'vector_x_component': 0.168,\n",
       "      'vector_y_component': 0.269,\n",
       "      'position_y_coordinate': 0.436}}},\n",
       "   'face_rectangle': {'width': 107, 'top': 108, 'left': 141, 'height': 107},\n",
       "   'face_token': 'ec6999936b0b88326670116b0e7ce50b'}]}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_analyze.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "49a5c83f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "36be8603",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>face_token</th>\n",
       "      <td>ec6999936b0b88326670116b0e7ce50b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.sadness</th>\n",
       "      <td>0.681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.neutral</th>\n",
       "      <td>0.007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.disgust</th>\n",
       "      <td>1.213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.anger</th>\n",
       "      <td>0.007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.surprise</th>\n",
       "      <td>0.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.fear</th>\n",
       "      <td>0.112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.happiness</th>\n",
       "      <td>97.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.beauty.female_score</th>\n",
       "      <td>56.631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.beauty.male_score</th>\n",
       "      <td>56.694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.gender.value</th>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.age.value</th>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.mouthstatus.close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.mouthstatus.surgical_mask_or_respirator</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.mouthstatus.open</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.mouthstatus.other_occlusion</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.glass.value</th>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.skinstatus.dark_circle</th>\n",
       "      <td>1.982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.skinstatus.stain</th>\n",
       "      <td>12.624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.skinstatus.acne</th>\n",
       "      <td>0.634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.skinstatus.health</th>\n",
       "      <td>9.525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.headpose.yaw_angle</th>\n",
       "      <td>0.004189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.headpose.pitch_angle</th>\n",
       "      <td>16.763775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.headpose.roll_angle</th>\n",
       "      <td>2.305076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.blurness.threshold</th>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.blurness.value</th>\n",
       "      <td>0.364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.motionblur.threshold</th>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.motionblur.value</th>\n",
       "      <td>0.364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.gaussianblur.threshold</th>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.blur.gaussianblur.value</th>\n",
       "      <td>0.364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.smile.threshold</th>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.smile.value</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.normal_glass_eye_open</th>\n",
       "      <td>0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.no_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.occlusion</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.no_glass_eye_open</th>\n",
       "      <td>99.998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.normal_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.dark_glasses</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.normal_glass_eye_open</th>\n",
       "      <td>0.031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.no_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.occlusion</th>\n",
       "      <td>0.008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.no_glass_eye_open</th>\n",
       "      <td>99.961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.normal_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.dark_glasses</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.facequality.threshold</th>\n",
       "      <td>70.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.facequality.value</th>\n",
       "      <td>85.658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.right_eye_gaze.position_x_coordinate</th>\n",
       "      <td>0.468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.right_eye_gaze.vector_z_component</th>\n",
       "      <td>0.944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.right_eye_gaze.vector_x_component</th>\n",
       "      <td>-0.054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.right_eye_gaze.vector_y_component</th>\n",
       "      <td>0.325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.right_eye_gaze.position_y_coordinate</th>\n",
       "      <td>0.443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.left_eye_gaze.position_x_coordinate</th>\n",
       "      <td>0.506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.left_eye_gaze.vector_z_component</th>\n",
       "      <td>0.948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.left_eye_gaze.vector_x_component</th>\n",
       "      <td>0.168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.left_eye_gaze.vector_y_component</th>\n",
       "      <td>0.269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyegaze.left_eye_gaze.position_y_coordinate</th>\n",
       "      <td>0.436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.width</th>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.top</th>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.left</th>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.height</th>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                   0\n",
       "face_token                                          ec6999936b0b88326670116b0e7ce50b\n",
       "attributes.emotion.sadness                                                     0.681\n",
       "attributes.emotion.neutral                                                     0.007\n",
       "attributes.emotion.disgust                                                     1.213\n",
       "attributes.emotion.anger                                                       0.007\n",
       "attributes.emotion.surprise                                                    0.009\n",
       "attributes.emotion.fear                                                        0.112\n",
       "attributes.emotion.happiness                                                   97.97\n",
       "attributes.beauty.female_score                                                56.631\n",
       "attributes.beauty.male_score                                                  56.694\n",
       "attributes.gender.value                                                         Male\n",
       "attributes.age.value                                                              53\n",
       "attributes.mouthstatus.close                                                     0.0\n",
       "attributes.mouthstatus.surgical_mask_or_respirator                               0.0\n",
       "attributes.mouthstatus.open                                                    100.0\n",
       "attributes.mouthstatus.other_occlusion                                           0.0\n",
       "attributes.glass.value                                                          None\n",
       "attributes.skinstatus.dark_circle                                              1.982\n",
       "attributes.skinstatus.stain                                                   12.624\n",
       "attributes.skinstatus.acne                                                     0.634\n",
       "attributes.skinstatus.health                                                   9.525\n",
       "attributes.headpose.yaw_angle                                               0.004189\n",
       "attributes.headpose.pitch_angle                                            16.763775\n",
       "attributes.headpose.roll_angle                                              2.305076\n",
       "attributes.blur.blurness.threshold                                              50.0\n",
       "attributes.blur.blurness.value                                                 0.364\n",
       "attributes.blur.motionblur.threshold                                            50.0\n",
       "attributes.blur.motionblur.value                                               0.364\n",
       "attributes.blur.gaussianblur.threshold                                          50.0\n",
       "attributes.blur.gaussianblur.value                                             0.364\n",
       "attributes.smile.threshold                                                      50.0\n",
       "attributes.smile.value                                                         100.0\n",
       "attributes.eyestatus.left_eye_status.normal_gla...                             0.002\n",
       "attributes.eyestatus.left_eye_status.no_glass_e...                               0.0\n",
       "attributes.eyestatus.left_eye_status.occlusion                                   0.0\n",
       "attributes.eyestatus.left_eye_status.no_glass_e...                            99.998\n",
       "attributes.eyestatus.left_eye_status.normal_gla...                               0.0\n",
       "attributes.eyestatus.left_eye_status.dark_glasses                                0.0\n",
       "attributes.eyestatus.right_eye_status.normal_gl...                             0.031\n",
       "attributes.eyestatus.right_eye_status.no_glass_...                               0.0\n",
       "attributes.eyestatus.right_eye_status.occlusion                                0.008\n",
       "attributes.eyestatus.right_eye_status.no_glass_...                            99.961\n",
       "attributes.eyestatus.right_eye_status.normal_gl...                               0.0\n",
       "attributes.eyestatus.right_eye_status.dark_glasses                               0.0\n",
       "attributes.facequality.threshold                                                70.1\n",
       "attributes.facequality.value                                                  85.658\n",
       "attributes.eyegaze.right_eye_gaze.position_x_co...                             0.468\n",
       "attributes.eyegaze.right_eye_gaze.vector_z_comp...                             0.944\n",
       "attributes.eyegaze.right_eye_gaze.vector_x_comp...                            -0.054\n",
       "attributes.eyegaze.right_eye_gaze.vector_y_comp...                             0.325\n",
       "attributes.eyegaze.right_eye_gaze.position_y_co...                             0.443\n",
       "attributes.eyegaze.left_eye_gaze.position_x_coo...                             0.506\n",
       "attributes.eyegaze.left_eye_gaze.vector_z_compo...                             0.948\n",
       "attributes.eyegaze.left_eye_gaze.vector_x_compo...                             0.168\n",
       "attributes.eyegaze.left_eye_gaze.vector_y_compo...                             0.269\n",
       "attributes.eyegaze.left_eye_gaze.position_y_coo...                             0.436\n",
       "face_rectangle.width                                                             107\n",
       "face_rectangle.top                                                               108\n",
       "face_rectangle.left                                                              141\n",
       "face_rectangle.height                                                            107"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.json_normalize(r_analyze.json()['faces']).T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46f86cf5",
   "metadata": {},
   "source": [
    "# 人脸对比\n",
    "\n",
    "* 上述人脸检测需要不断的重复利用，我们尝试将其封装成函数使用"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b2e43165",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BVNu2AEAo/eY7YLrexyRJ1NwqqjU6nSOsO4b51lrv26IoRkjBGKP/TJIkxqjmVldUCAE4oICl3rrrh4ss14DPGJO6ZIR7FbvIi2w8B82G+BAAYLlcIqKPQS+t67rtdhtCEAFW2hihAhFdG9rgjTEMIoxoyDln08RaS2SEUbAfsSs7cu2O+oImYH7acm1wdp1l/bxcCHpyu+937eDLLBcOw9n2vyVEQrHWWiRmRuAszbIssyZxLtW/jZ1nDKriTdOomk7ygoj0HWFBFvYhc0mWZWrDrLXz+VxtrYSYJ2lqHQCoOjZtNSpuCEEid00bfUBEZywiVrAloswlRVFMi5KIQvSddD4yImGSICK1bQjh5OREE8tpmrrU6ZoMIXDgpmvbto1Rtx1CdOABALrgIzOzRPYpRJSEjSN0I7KAyjJjEWbrnsEyE/zSlGJe6+N+0Xxf1QyN69W4EhEM8bgaLVYflxkRmQMAIGnVAvaAg4lt2xZFUZYlAIQQNN+rxi+EoE6Immf1O5fLpeYXFosFM6/X67qukyTZbreKlClFIU3TLMuMMRB8jKJ8GgIsikIhNt926ihXVVXztmmaoiisteWk0EwHIlpDykkIIVyuVkSkWF4XvCpunuehC3rtbdv6rmMAY1yWJCEEJoOGojACqjcC0iVZichPbTtXWb2nBIHkY3Qu+QII3r5565m/uM7iPi+H4UW5CnqjdUu9qvEKna8ajl44qvPAzERgrVVDmKVuOp3uQrNISZqmxvReL/WpNTk5ORldBb12BR9u3jwCZGPMcrl0zm02m7Zt27Y9PT1V70XdjCRJsizz3hthRASWkT3jTO/h5HmeuT7foacaQhBgZYdpBgQAIkiM0TknIpvtdvAQxDibZVnovGphF3xd11XbxMCC4JyLIBx7ooKIKJXNuEyLLfT4er1wjWESBLlGcb9wrsIXzbJeJ+ojqqIAQB+Jd62wjyEQwhinW0tZliHLmHcY3WLnHIjmw1BBLmVpdV2npBlVyq7riGg6nU6n5WQyKSe5qrKIqIN7fn4+8hWJSEM9EZHINrFpmibWqc/qvW/qRv3gtm1T61TFFYUAgNX6Un13xWtRiyKN2W63+knN2ynbUa9I7aUlow5M07RdCIhILFEERICG+k3B6AMb4J0aT/2Vrqsvr3xpEhDjHY8x6ibedV3omhQRhGUnP2SREmMn8wkiJs6MTIPEWJelwUPTNKvNVi3umJto60a3z8Q6FFCv1FmLAEWWE1HTNOv1ervdVlV1eX6Rpqm6E8ycJIlE1gM6g23dtNAoiJam6aQojTF1XXvvQ+c1zFLsIs/zmzdvqvesHwAAIRSRqqpCCMZaVd88z9u2jTEG3442GwU0jWxjCPHKUKIAAgiyJttGrVV5UXvg5ytfRIsr+AxynbXWWBSJ0bdd0/SJ3OgpScGgRXKJdWQAIMuycpJbY2fzyWI2N8Z0Xdd1HfvAPhTlZMzxqhYqfBtCUJdATal1ejDYbtdFkSwWi+VyHkJ3enrMHPb3l+v1Vj0QxbnU31Bt1tSXUnI1q2wRb9y4AQAk0HXder2uqqprW2PMvXv3NEmmOWdjTATx3t+8ebOu68vVarPZaG5PD1XFiCjQ8yKZBMGYjGgbGiKyQ/AaRWKIUcCaVB38vnoNQQgZZWSNPdFjSuhL4eDCR8Bh1yk0P2e/hWu/+Dr82Dq+6qfFAEDYA7QAHEJo6rrr2j5BCkzMWZI4Y9FQ6pKyLLMsQxTnUpGooGlVVQOoFBCN72Jk3xfMaFVCCGVZdl2T53kIIcsyANjf3y/LPMmS/f39tm3VbF9eXq7X6w8++MD7oJFZ13WKEKvuZkmqVAQRqesaRcq8SJIk+rC3tzcrJ9YYPaXQdjZN6rZufMfMaZqWZUlEdV1vt9v5fK55O02O6B1Tl0a4v3td8F3XiQhZg4in5+dN06jjwaA+NGszXfWePUcAyIvJZDZtg2fmyKKeia43BdrgSeoSogEADqroH7bWn4+qXxucXSefquIKaqaddlVWX0PbOOc4hs1m0zW1MZQkCYFYwCJLNY+1e9iu65SHoPwvDeaqqqnrtm28D62aQ5GReRjzPO+6ZjKZeO+Pjo6MMdPZZLFcfu3rX02S5OLi4q233nr33Xc1+39yckJEMMTvut2HEFRrl8tlURSh86Hr1D3YWywBwCIVeT4rJ7oPtMFv621a5IokbLfbGGOWZUVRrFYrPUPVXXVpuq4TBmVXWmvVtCvj4vj0RN9s2/bs4iIESRJjjJGgDj6KiI9BBFyaZUWOhoAIjY0izMwgxlgk4vD01GlVXInXNen5fBT3c3MVnh3VAogwoOATC6OPxoL3seti5xFBAyDgOJ9OUVjDF/V9NQh74403AEDNj/oVmiwwxhgbWMyYv1XgbODdynq9nk6nXdfNZjMiun3r1uX5xd27d09PTy8vL9eXK2sTEdlbLhFRGEZirp6kS5O2bbfrTbXZJtZOp9PD/QPn3Afv37XW2jRr2lYBtcV0Np/P0WDVNpvNBrW2J8tijKvVSst+xm2BBzZw13qFI2KMCiCob7NYLNRCq+qr87PZNHniRERCb0yZoeu6KJxkKVk7Jp8V3QUGIvPU0+nDgE9VG55fPrfg7NkLRoCBYaA+jfxaZHGaoa1rRJyUkyzLUCD6jjn4VumFVqP16XSqVnPEfRTY0r347t0HaiA1qGdmzX2qhdZ3dKMvimI+nykz0jm3XC6VMNC2Psb4+PHjLMvKYqL4wAgzLff3mqbpmjao/9t1Cpx985vfXK/Xoe0QUVuOnp2dna8ui0nhsrQsS8U3lPZQlqU6HqqsicK0ilTHCEMZZhTWZFvTNHsH+wrVGWMK59T0qo+hN0FpN2iAAaIPHhFDiFGSLE2cY4AQQue7NCl2H9DgM8MXrcfpFxFVGO8QAQoLCLOI2lTVqjzNCEm4TwKrycmyTAEETSio36k+qOKgg/TptxgjQJ+5QMQksUWRVVV1586dyCHPs8ghz/PpdFpV1Xq9Vl9WUVtVL3VOFPNSlKAoivXlSjMF1lplA3OIbdv+zu/8zmw2O9o/SJKk2m5DCMV0Mt9bHp8eK7THA71dz03POU3TNE2ttcqc1H2grmv1g4HQOVeWZZ7nF6tLtbsicrleN01jjLlx48ZmtRrZmABGEESzazEKx8DMEEVyshYRE+ue5cA9+VS+GPK5Ke51rkhfLoUIwKJNjmIUiXVdA0iapi4xulcahCxJgEUzW0pTHLfRpmmUjYADy1Z9waYJXdf10FK46k4XQthsNgpgFeWiLMs333zzlVdeWa0uVqvV3bt3t9utssm05EGtLwiO+TxVu1dffbWvw4mxaxrnnCUjIkWWt2378OHDJEmWi0WWZU3TrNbr5cH+arW6vLxExOl0qlmM9XqdJMnIrtRv1Lrik+NTVeiyLIFQPWBVYv2wFvyoq8DMWZYpNUL9YwQwiIKikB+IdE3r2+DSJMuyJE29DwBX/DhE/IhmFJ+jfLGCMxgKTvq0pEiMnkOM7Lu6SdMksS6yBxZrKUsSY0zqrGZrVRfH2vHJZKLPTN/UdAAAxIhd13nfjpRwY9Bau1wu27bNiyzPc43of+7nfs4Y85u/+TcBQI+/Xq9Xq5UxbrlcKoiWZ0VRFIou9x4IkWq/tVa/QiKHELIkLYqirerNZgMDWWw+n19ue3d2ZKNrRlpreMYej1qdQUTr1eYqHBQeF2GaZ5vNRh3crCgUOV6v17q2u+CbptE8hSBpeY8giGAUBgCyNk1Tl2YIBEAfDs4Cf7GCsy8cHAZjrgFAJIYQYuhijBDjpCiRpN5WADybzVLnvPcSw8i3stbu7e3dvHlzNpspMKTERQXFNDav6zYEDqHr01FdJxK1+Mw55xL7xhtveO8nk8ne3t5ms4nRn5+fX1xcaILXe7/d1oi4t7fXtm3wceTUahDjjGmaRvNSRFSW5bScGGOODg4Xi0VXN+v1GgBOT09PT0+LoqDEDOunX3Kq7lmWKR1C1x4RqXMyncyG0xZVXHUqzi7OVcXbtm26TrkTANBVNQD4GOq6DiGQtcY4QQgh+Bi1J6QxfbO9wDCfLwSIAIGegMN8/JLAYR9Bvnkhitt//RVYOFQBgLaeDSigRsu3tYhkykyNPrUuzRwARN+pMikItVwuF4uFhkrW2pOTk5F5WNd1VVVVVcUYiazGXsycJH1VGSLu7S9DCLPZbD6fr9eX3/zmN51ze3t7q/OL7373u6vVKk1TTVjEKFVVZVmWpikiqUVXLWmaZm+xVGQAETXZpudgkBaLxeHhoYK1ihVsNhuBvvJx5Fpo4KirVyM2VU1NGc6m8xHu9THoZtI0jboK6v4KoiYsmLndbntnRphZgpYkgTiXhiHaE0FB9QqMc0mSFal1nvscCpqe3gQAoq106Arl5fDsMuJPG5X6QgZn2toDtKjBiwiAbLdbazBPUuuoD9SC11BsOp0ul8vpdKqKrlunxmrq9mkMrv+s6xYANIADyDQplaZp09QHBwfOubOzM+fMK6+8wszn5+cPHzxQq+a979OwxineRETOJTCQLRXMUtY5ES0Wi729vbIsNUDcrNaPHj26f//+4eHh/v6+LrCiKNqu2U3JquVWVR5pMeq767WcnJxUVaV5Fpu4rut0Vwkc9ZNpmtZtqzkXESmS/gyZOTBTjD5GYI4+CIgMGW9SRA8NhyghMhkSsEhAhIAyTGrhJ3uefo7Mmy+g4jIBAmBkZu4kRolMhIYoSVyeZiBx22ybaksAaZreunVLn6LSC3W3RcSzs7ORRMtDgSQAJIkCESTSb/Gdb1niQJSJeZ5Op9OLi4vz8/PVanV+cuq7znedWj4AiByIiABD5zmwBoVZmi0Wi9lspqmK09NThWY15Foul/PpTHk83vsHDx6EEI6Ojm7fvs0S9SRhGOipWqskBL0j6o0o3re6XCuroSgKINSWZEoWGxMTGeKYiH5iTyONtVAdVmZmMLE3xxIjREEkZ0NgY5QaAkSK7EZVVsHh5YmW6B+Wny6LSzstgAbQJgIIkbHOODLq78bojTF5mhZF4ZxjZg1rEHHcVdWUjmFTb5ZCUM0GADWQAOBDj7Ixc9NUCqNqjeSdO3dyl2w2G3WRVZkMuTzPN5uNMca5RN9s2/b999/33t+4cSNJkr29PXUYVLEuLy+jDwoLMLPCtN77d999t5wUOLQUAYAx6cBDofIIk6nkeb5erzebTVVV6qoqbAIA6sQbY0TrdrQ+eagZgavWTKjFo0oPkyhamSYCwiBEyjPW60JAAmQEQiXyox7nc2c5frEUV4W0+5eItkZE7WEv0jQNR09EibWTosjzLMsym6SKf40oVZ7neZ5fXl6qTsPQcE49NoUaQF1bAtCGc2l6fn66t7enNlhN+Gazeuedt44fPCYiDdeUotXU/QJIksQYCwBJkiwWC0Wg2rpBAd922/Wmx63ywlrb+q6vMm+aGGOSJMaarMjPz8/VV1FvdTSudV3D4ISoo9JzhbUbaQjY35e+oE0Q+opLa3E4lLU2tK0WPzOLpouJCIdeYyBCIIiEBkWECX0UDjF0PZdDi5/B9DgDAo5kBn1Yn7ZlvU6+cIpLO2NCEICICMEYAzGwBLUomgbTJ73ZbLTacT6fA4CGYsqp1Qes9kM93dEkj67kGGvO53PNCd++ffvWrVvee+UMLJdLEdHDXlxcVFWlXfbKspzP51mW66mOBRoaOY2X4JzToDBwVFR1MpmcnZ3dv38/TdP5fH50dKS2TdnAailVR/X849BXQS1o8FFL6mXg3aoPTdbooiUiQQTFm1PXrLeR/UCmAxjchjhMuBYRAQTmAIIAdjj56HtgBLWjEyKD6ORh7KdbvIDo/BPLF05xdZULB+FgtNEAgiXT+c4gJc4kqU2ss2QsGWvta195g4ZeYG3banpJt/4RqKJhJI73XtEGABjZveNOrY7jrVu3ksR+73u/qz7u+nylWjJSbwktM9+9e/fhw4ciPSKrjoe1djlfZFk2n8/n87mewHa7FZHbN288fvy4bdvFYvH1r39dT5iZdXSZLjMcGkhqKm7UV/UWVF+jZV2HIYQorI6sc844O67MnpAuEqJPnbNAuvnEsDM4SKerDCUPIkIMQcRaqx8LISjUQAaUpw+E2tFBPobF/bR9ic9McelawA9ZV7R2EDJILH1/ITKWDBIIEbRtbYyxSQ92Oucmk7Isy66pvfcKeREZmzphUDB/TJghoo+haZq6bcga46x+EQ4DHIno3r17t45u3Lhxw7f1B++/v1ldTIqs3m41/aZ6r1W7ILTZbG7evBljBMCRwqtqCsICrCFXiBFQykmh3Ik7d+6ox6LOqMIUCKKlb13X6ZlosmPMMD9Vb6MUC9CefNwXHidJ0gWvroLuMDZJUKSrW7E0JnSI+lA1BA1YLQz0fERjjJAwIAUOIhwFdfCEABCBGCssOtNC/6N+uMrnpLjPGxU+L3+eRD+/81eonZOvxoRoeaPRETS+rbcbIkqcAe4m0/kAytosywggxjifzo6OjkIIjx49auraWrIutY4QMHat0lGK6SRNU0BsmqZqqiAMBGhN5grfxRijwUCxp7CISGJsljrfNV9949UYwo2Dg/V6LcE7Z5hBvVUE0zYeAKbTadv2yL/SfI0xZVkWWR662lqIXasNckgYGbbbdQih60JkHu3imBmOMQoAEoUQmqHbs7oZLkn6QrQhz1c1lfbYExRjemZm1/WFyhoAhBDq7caS0XViyUQt0GDFyIUZOh+JdLFprgEBkYBb7myKXRc77ws7sYll5hA7wsE/RhDu5w8JoTEu9p4XfxwNed7qC76mF89nYHFp54cPn4RS5nqAhUAicDnJu65jDvPJ1DlTVVvmgEhd1y3n8/39fWC5d++egl/qHYYQbHRJkhhrp9M8TdPVtuq6jkW8913sPcXYN1biGCMatNZmaTKdTid59kvf/uajR4+y1H3tzTdPHz/+/u/+7npzmRi7bpooEIempcy83W4vLi4Qacx1jUiF974oUgIBApYgjMpi5f7yZexgPhZm6smPyTZjjJZRwGA7RnxA/RkZSu5UUdQh1rYm0s/3M4r79v8EGn16EW1vo/iaAwARjFGEY58hI0wS2/qGOVpr0ULb1TFInucCUf9cy1NoMHe7rIYRIPsMHN9PXXEZAXaucxSti1I8e/eXXdeliQWtwCnL9Xp9dnKaJAkSLpfL2WSihV/MDCxVVWkDEGMMGeAIgOJ9BBNjYBB0aVIUZQRRJgqijzGSABNYMol1qf6fJI8fP3791decwbvvvfeT997bbjZ5ms1mi/kSms5fXl5ut1uRzlicTqcwYK7KNWMOaerS1CXOBh8EoohHRCA7IqnOWRbWLHMUGck9aZpqgxIY0gSqqZrU5Z02e3oojZwUbRgzF4r9KSkHBkyNh4ro0boPCbB+yJoqMzMzKM4tAGAdpWlKFJk5dJ6ZASjGaACBSLCfRwAgssPF6Z9pr6/8GXDJPtfg7Fm7QOqSEDpEzLKs67qLiwsloyiktV6vHz582LbdfD5LXaJhuEtdkqQ2cS7VUMTEwLdv344xakm353hxcaGp3epyDQCpsc7ZxFpDgBwlhqPDw29942d+87/8m7/+1757586dv/uP/pGmaVbb6nvf/xElaeh8H9BYQ4iAGLXqmCyDGCRE7Jq22m6sJeDQY0bGqQ4BQNsF5Q845+LQOCfGmKSpGl11D2DHdGnuVzdo/e2uso5WTVc4AOjmM+p3/8PQn0oVc2CxxScS7TKMgGURwsmszDJcrVZt26ZpimS996qLxEh0pTOkHFGQ0evT90Xk09bcz0hx1VP5sN3tr1wAAQgYgKbTab1dI2Ls/OVmY63dX+4p2e/evXu+bYuimE6nzIyGbty6WVVVXpZFWgiJc2mWJSLYNNXZxblmmIwxXQxKsiaB1BhLJrE2z9M8zYqimE+mk2lx4/AIWPIk/YWf+/ZXv/qV6MPJ42NEcIass6khIkCRKCJBAkcJPhIQiYLzEYVZ2uAB3LAviw6eUA2pqpqIgLSLL2mZhrEYvcedFtPaOF+zdGO2j3e6QmmRz4ju6W7TP0vbAwtx4C4DKJm5J9xJzwPR80PsCzcQRPMdHJlDG21l8zwv8wKxjTFCUAYFAQAhE7Luojj0YRja5PRDDEA1+MufOeMPR2ZD0hufdBMAhauqIkRrrara4eFhnuUPHjwAgBCCThbR6D5JEuPcdL6cTCbaJEEP0nVtVTVdaBXqV79Qw6/EOoeYEGaJK9KkzIrppNzbW+zNZ5Oy2FxcLGbzosi2q/WjR48Mwe1XXp0t9zbb6vj4GC5WMUYHwJYzMDGJV1ArGhOMGrrz83MamozoM9W4fTqdJUlinEVEjqB/q3iIphfUeVATqzQgGDtNMY+uwtXlJIletSY1FALTlK9qp1r0LHU0JM90bFuPtPQWV7MMqOpuEALL+fkmxri3t+dcenp+5rvOOaeNpAyxiGguDfo0p8iT0NjoXn+qWvXZWNzBJUCGIalLopNz+4oyBEQxCFBXVZJYiUyAk6KUyCcnJxeXTZbCbDYDgM1m03TdwcEBxni5Xs9mi/WmarugOFHbtm1XD08xcQaIiHXvJnGGEgBnKU1s6myW2NSazNk0cSDcda1wAJEyy7/2xlfatt1UFUQWjgiSWBMRQggiTESKBpnE5lkirNXCbeC4XO6r9gBAT/syfZcaEWnboN0XjTGIhpnbriHCnlTp3KiXPNAJFM0dSySU6aufUdKjBmcjN3IsVtNDDeR6RRW0cM0AaF0faJkf9rldAiAD5H3XNU1d19Yms8nUe98F77sokcBGAcK+bytEEEAkwCuACASgH2j1qarU5+Ljjq7tlblFAR3YXBSZ0vO0C8bJyclq1c5nqbW2qipjzN7eXpqm+hQPbxwZSrfbbV3XNHTmAmR1LXROk0hEEXWRE+sS5CKxs0k5nU7KspxMJsvZbDYtj4+PbxwcFmlmLaktBJH5pFzXjRCSQFEUoe22TY0RkjzzTVu1DXtGayxShNQAonHbutK4Xg/SdR0CaXYAAGIU5YbrHi0ie3t7u+3Ux5JP1WNNhsEQV/HQGyqEoKz2voeIyGQy0R1Gs99jebNwINIuqCEyJ0mii0oHX/dOCEQFLcaA0nt/cXY2ncwPbhyJyIMHDzruBxjqkxIEgUgAAqgpPAF6Alj4lHUIb924+exffKSp38Vr9HVM/Iw+/7Bx6F8wDGsQRe1u1PIcQkmSJLUusm/b1reNWiwZCk70aRVFYXYaYDnnkixNkqTIZ0F6s9TVjfeeo3YVb7HfUl2eZn3OIkuthK+8fmdSzmbzyWKx0GA6hK5t27IosiybTApr7enpaVVVs/ny4ekxGXfv7geBY1PVDBI9H5+e7C2WPobNatN2nbO2876payQrpkcSFJ9VJI6ZN+ttVuSK32VZoYbTWntxcaZDgXZhNWbWTg76eWUgaCpku92qcisrUsny+iaMnalC6BdqkoiODYyRiHwIOuUqz3M3BIWg3UNiTwVW7YwxdoERYDqdHh0dzfeWP/nJT05OTgBIA2UfgnPOJq5pGpM4R0aGXE/oC+aQiNA4ANAmD9powF5jiMPQEuopLSJHT+EqfyDF/fAXqIv24T8f1t6ouIwCgIzMBgmBRcQiOeeQJMboDOnd15pEveNEpEq229rWx+C9J5vBsKX6pg2+DSGgRNRoQh2DNLeWyiyfToqD2fToYJFlRZ6nWt5TFIVA9G1IEjs+NiUlHhwdHp+eV0396NGj/f19QqtE3rqu79+/f3p6rrDrdrsFwDzPY4xibOdj9AEICVAx4CBcpJlLMwAIHFEgcOwa72OHCCNAG4eWUDRUyGm5zki9UFVTv0IzcBrDaWmGWju9XaMP3dS1soiMMX4ocELEum31D40xPkb9cyK766KIYJKm0+m0KIqDg4Pjs9PHj08uL9fW0uHhYZIkq/XaWqvtSDSA09GtkTkEdagsIkZRJIQAwFzTDHLHEe/9Yw1MgwwQzSC6UTy3qzAeZfyC8X7tfuDqVStABp70rmYjIiFJiMw+AFtrtek96ogmYyZFgYhAhCNfUdjHYIIX32mLF9/JQBkFDpE5ADPqmNzEJsZaAiuSOzudFAfLxas3j+azYjqdl2U+lq23be2msySxiufHGLU4Is/Tg4M9Y8zh/l5ZlhcXq/Pz8zSxs2mZpS5xrudJEnCEoiiACNCstptOGK1JrYuCSirQYvq6rhvfJcaSsyTgrEnS9MOKq2hgVVWKHyvbQY2xEt90ho8dOl0z83Q61XLfEMJqtRpbS2lGTS332LfBe69WcAB2pR8aAYwsiAYBRfliMW7Wa6WqzabT2RuTe/fuPTo+Oz5+NJlMBMEl/YwWAQGR/skPYNxg2MzVJC9+dqZ2BPKG/NxAXff9Sh6Zn4pJP7fFHYP3ZzoGo75e+TqGRsWlPk/GJH1JHgmLCMLVLhC6hgYmf59nGoiqIpqcl11Ec8gGCQcfQgCOKEAoMcb5tJwUZZml08lkuVzeuHHj5o2DWVlYI0Uxcc6EwGnqdGyOhuSjE6mUHQbJ87IL4fHDh2hMYq1Nksuzy/fvfXC0f3B2eXHy6KTxXWrdpq62qzWQzYpis9m0jTcWDTndFkTE+yiImlbIsoKsiT74GMBQiLF/GENUrngWAIyly7pdatuEuq5jjAoLav8EpSNvNhslDU8mE3Uq1ut1nmWjAUvSVAlGIYRiUl6lckzPUuIoEqQvzdGTGab3ENGNmzdv374NAO+///79+/eF+lzM6METWiVMeo6RQS0uAPAw7w0RxXfP1Ktx6xgxmR6xNr2y7YKDzPzcijuahKdeaegY/mzFhSscVxXXIAozCVtHBglZOt+EEJyxoPdgmI2Dxmjg5ZxzaWKMCcK9I9F5ZtYy2hACMBvExLnE0GxaLmfT2XSa59l8Olsul7du3Dg8XOZZAhink5l1pm06l1idQTL6ZyLiXGKGLvvn5+fL5ZJD9DFcnl+QNZYcg5wenwSOm9W27bo0SZq2PTs9reo2SbLW+xgZQGLkum0UEDDkGER36iTJgMgP9UPtgGeNC5KZ8zwfeTYyVKiPD7ivJ2vbEIImIO7evdt3kPZe1THP88lkQsPUDN3Bx9RaMSm3221dbwEADA3wmRAbFNIHN2zNMUhPtC/L8vDw0Cbu7Ozs7OysHYhs6jBYm9jEEdoI0HbhuRR3JA/Jk5KVGe9U/4/28bkVd/Rln3rdcWqv9oIrV+FKcdkIAIhFitEblMQ6RyaE0LSV917bIJO9okTxzlcrpRRtH6UBQLet9WETiDO2LLJpUeZZcvPwYDGfTctJmafT6XQxmy8Wi9l84n2dpG65XOpsMxiGQ6nFxZ4A2Sf9icggVVW13W6LolAXs6oaIlJuLpGNMa7Xa42rzs7O2i70ZbHeN01Tt633fUrMx7BZV0qxQEMhBB/FA7CIBpeKlOlXX15e8lB2ppGWchh0mcVhBFCMUR2AIRzsKRljM7/E9R15iahuGt30kyS5XK8QUQcIRxBdRMyQUjq2vhugARYRcj3huCiKvYN9a632/1N91JNBY51zZJwQigCSHXzcnY06Prsv7zjik4dyUb32ID3P5Kng7JPAYTI0XNl9lScx51Gh+YkUw9M+rv6FhgLAYpD0uToAIFHakTYBaLpW+8rkeS6ETdNUVdU0Te4cAqq6Z0lalvmknORZMp1Op9PpbDKdTYq9xXI5n+Z5niYuy41ONu+6Rt0mBprMyqbuFATVxKluoBYpeF+UeV5kSZJcnF96743BsiziVVFNbwmSJJnNZk3d6eZe1zWBpKlTCKzrOqC8yHI1mV3w6/Wam65jJrIKvirOpTfn6OhIv0JjQa3V0QesjZXm8/lsNlP7qo129JKNMZvNRp1g1XIiUnDGh2CGrpLMgYh0LPAOr9dKkGF69dDzBwUA2qqeTqdgKMa4WV2maZpYs7e3UJem9bHrusASY2TBCGKtA+0yDSA7ikvXGMSngku1GkTU1d2Y5R7V7xNa3F3Ngx3v9plebx8mw5B6QCbtSGyJmQ2KDlsMXcPMlvoZpSLiYwiehTBJEps4DbG1KHJTVZ1vACAxdrveOEOJdVnqJnkxm5aLSZmn6be+8TOzybQoszLLZ7NZWWSIKMginOSJbny6yjfVtixLENKqQ5M4vU3GWCJCFhFpqlq3zjzPj49PT09PNQzabrcS2dpEh0QTUV21qn+bzUZbOqiHoDCFlmUQkTA0vvMxnK0rDwwsDAIsre+autM/lGG4kEK/Cn6dnJxEYRT00W/Xm/W6JoKyzDW5ra3TtG26bhSHBwciouscibRAo2kaJGnatm2asFOnaW1Sb2siOzp+IsIiSAJCLKH1MUmsTs4SkTRNW98hosagDIiIwhg4RgAcOGhRkAdY1F4/hmzUVxmaUDFzBGWu4cj66H3c5+1k85RLsPv6DMcXQCKn1iGi920IwRp0zhJi01TOucSSSPTeg7AxJrXOuYSZQUgII0MXgzE9Dm+tJYKqqrarNUtAxOhD5hKOfjopbx0cGAiTLPuZr76xmE0nZT4t8sViocRc46z6Yer6956+saCdngBAwwsiVDzSEKJBRPERoGcpRNG9DJhZg/1qs4XIiXMA0NXNtqkvL9bGJdZS0zTb7do556xVH2C73Sqd9/Lysiyn2+0WrL2st21kDqH1nkMgawFo5JXrjhmiaGUHAAARAyCjZx8H0HCMbLR8xFo7n8+X80VRFNFHbe+g6Zs0TY0lhWi2VVVXGx/DoKMR0XAEHKzy+FgRYbvt0pSSJGWOukjKsiwmUwbxPq42m6Io0jSv6xoRgTBxWeu7rvMRxNAVPn1dZmKMnXb1BwDG6YKj0e3P6tNWXIqik5J8aJmZCAyphY7MjBIBmIi0dhoAJHDbtj6KS5M8m7osdUnqnKu1n3OM3rdd3RiCPM9TZ8q8KPJsXhT781nmaG82ff3OrUmeFXlWFMVsNsvLwrhECx+IdJZvvx+JttTUx6b62mutJSIhNIAERiERBolX430YEdu2rauq3lah7cYGBW2nzct827ZNUyEJh6g9abIs2662m80mywpEPH58arLkYrttOXCIre+87xtEt95rklYd1sjDczWExvYrSiRG772P3sdhkkXT1DHG3qdKM0RsqibP89EJDiG0XaPgRtu2XdeorsQYY/QMSMaNWyjvMNHizqAXtY5Jktg0SZMiL4vVZrPdbplBEyUikqS59771nYjo3gUAOl7lo7Nqu5E9AGh4t6vQ+sNnMT1dRAD7Cctjg8Q0dRpKEPX80eC7ruu62hNBkhWz2azIZxGkabvNZpM4G7wngTxJM+uYQ+pMYm3i6MbhcpbnkzxfTicHi/lyucwTl2dpliXaFgSs1Y2eexo/gLGK8gOAEoN5aOUyRtP6b2v6W4QiJAKGkBk1mWdM4lzqEm0vruBlmrmqaaJvjTHWko4yd85oUro8OlitVnt7eycnJ9PptGqbLE2JLVg2xrTYoiFjnHOubltrqQvWe+8AiIg1v9VTXUWECfraIxz4ZcqwsdaGEO+fP1it2jdevw07VWMGbWaKNMvPzk7jMF2dDFlDFhwi+sC7Cjrqim4aIShsB6BtSWNom+DSRD2Qtu1nczAzoFGoR0SYZVRcQ8+YrwYAGtd82BoG7rVo/KS+/1koLgwesHaGHYJHQ0TU43a94yIie3sLsjZN8yRL0RAK5mTSNOEY27b2XReDGGMmRTabTLLUofjFfDLNsrIoDg/2F5Myz9NJkZd55tIkTTNyFoxhpTcLoiUC6U0u9QBdhLF9bF+hpRYX8GoYhRAyK0iCiH1ME5mNs+V0wnkMbed9bLqAff0ZWmsF0BmaTsv79+93XRcl3rhxqMP3rEkYITXGcxTm3Pu6roOwMY5Buq4DY4z0t85a60OIsUW0sLNvYt+WWSaTCQxsMv38YjFnFomgicDd0AcAFKOw0SIJDm0cEDHEXml4kCcNMADA0JFQBKBt24uLi8lstlwuY5TT01PFkvXE1BXGcbSlMnefZXHVEXrKrMIwBGBEx8ZN4LOgNWq70PH6+5WkRGznmDkEj4hpkpXFZDKZaLQbhbu2VWIJMx8/fGQM5llSFNmkyGfTMnVJ9PWNg/2DxTRPk+V8fuNwmTpX5PlkNpnkhTEGrSNjmIgQGAi1Am5EsxEJlSMyJAJ1WzAERAQ6GWHI4vRFWawNMbIs6ZrGR2YBZxNKkDOOIcBqy8wh2hCs63zb1T50PobJZFJVVZJoVwer3cfQmgBiY9BuPcF37GOMPgpPp6XnSE3XNCwIaMCI8mCu5syN6iUD1YGIRpvHzIhSty0iIhIShhC2VdV2fSMc1q5NLqFhxDYiagG6PFlnMeoQDZTqXqERNSHiYwwhKAcDAJxzLFeLasi+gy76jyiPkJ107K6VHX87yqeuuDJgIgDQTxvo02AKtstIaNL2mnVdaxRlwKjhuby83Gw2s3JiDTpnLKGzNC2L+XTKsbx9Y29vOc2c21vOZrMSAbIsyfPcJE7vrCDoqBkA7BfQIPoz653Ud1ShtSZWqdO6zwIoWmmEUXvMCJO1WVFokyiIjAgW3WKxYNGq3UZSL+u4Wl1sNpssSReLxfn55dHRUVu1aZqeHJ/N95Zd8E3XsWEiij4wsw8xRC7LMnC0JtGCRx9D8F5hrKFe6EoUNxjZjBrLalX9pOxJ6DqmChH1mHrzlQqsd0PL30cTOzIZRlcBB5hIHQAAADGCjIhN02w2m9lssVgslOquUdhTEREgENEzfdyRDv9hb0FlcDX7z3w2iqsIGqqTYA0550JQfC4CgFIGEI33feij6uyjAMAkLxJLEtkYnJbFYj6dl9mszNLEINsbR/vLaeGcm0/zNLGImBWpcaQzT/QRCyACAslAQtUmmgT9xqTr2yAigNEGsYTUJz6JpNdy7fuCKH2eyRqTOCuRQ9d57iIIgrjEWpOoq4CYoTEhdES42WxWm7Xi9uVsenZ2NplPYvSWMLGEaCRPXGLSOml9aIOv6zoyA4JzBoC7LkT20Jfvc2SWGEPUgh8ZjW6SZWmaWpsw8+n55WazeeWVV9um0V4nbdtGjjZxffKla1p1S0NQxr0mkJ9iC/RVFVpmpqAsEitXhlmG6l8R0KyH2vtyMoMhhdFzJ7UAUZ6tuE/p66iyT2XUxs982orLAhEGsz86KMYYZooxyjC7wRjTdV1VVX1KTKRpmk3VxOgTa4kgTTMUtgaz1BR5Nsmz+Xxa5u5gbzYp88TYosicM2q5rbXWOhZhbcNiLRoCQyQgbddvRgg41HJqeh4ItTMh7eLQ6pkBqL+rHGlB1NhZIuvl2cRZtojYbes0SbIsQYzW2nKSzya59361Wq1Wq8QmIXBVNUmSFPPJBx98oJG+cTZNU0cmTRKlCrAPbfAcohI0iKjMMztNvI/CvQnQxIEaYMXXA3Nd1zFW3PMb+Qc/+IFCaWaYyxljBOBd2o0abGXk9azcoV/Jbr5qRBhoYKmLSJKmbduStWVZGGM1FTKbzUZf4gnbOZqADwnu3PNdH5dsAgN2q6JH++Rw2FMyJiZ2hYC5a80AxGhWnWPcbDbMYTqdOjJZloUQLi4unLVZliz2lgCw2Wy2261uOlVV7e0tfNcakKODxawsF5Py9q3Dw4O9GwcHWYZFmpZlWRRFluXWWmMcERFaIfUNCQ2hIUEygOyDgX4rREQhRDCCYG2iJVmihtYQAAkiGvtE6k8VHSF0HgAMIIgACzMrNxu8zg/zMXqJzBKUGIUsdV1rNwbfhqbpfBcR8cHDexo5oc6V5ihAPoaqqlqdZ630RdEGNmBNVtf1ervpuo7QpmmaZJkxpum6tm3ruq3ruvWd9z4GYea29U8CW6IX3ratDiQcx2frM0psr7gji1IfumbgaCCjyVjHhiQioR8ObscER5oVaZqiIe+990EXCTmrd/vD/sB1eqWowlOW+EW6Cs/8YgS01gIzEWmHIu99HMZyeO+TzOpcGmvt/v6+ZuF1xJdzrmka50xZ5k1dLWdTkDgtiqPD/YPFdH9vMSvLSZk6A0na03GMMaq1QFY0ztjJMJJAP2Fi8HNlLL4aWHe9vzs045Ynr0t/K4PJQMS+GxH2HwYAsoYEiA0RiAlXFSxRS21NjNGbYIzpXACAO3fuPHr0aLVasUie5ylC2/q2bRPrNptNCJzkmSnLbVV1bcfMwfSYFAxNFYxzxpi7d+/GGENgZVFGZQEzhNBnnsa0UwgsEkf4SVkKytnN87zabJWcIDs0SxjX+ZP16CIyNMztcQaFeMewjGOUoZMfIrK2EcHhb3der1Pc3YzFLpbyWZTu6KmPNIDRneKdSpXZbKamV0vKkiSJzMwBwBgkJslSh2DKIttfzG8c7c2KrMyTLLFpmiSpdVlqEkfOIhlAo7NBEUlD234DIkDl5QOy9ovrAzIz3g7oPV0EQP5INv0Q3/WXCGPOBUlEqK9jQUAhwL5pKom1NkYOCdvEuTYwc5plgpzmydnZ2eXlpSAul/u3Xrn5zjvv5FnS1J0EzzEaYSPsQ4AIPgQOkUNsuvbism1a7703Opdd+QWMwhgkRpbIPYKuGiggLCwCHFkRdARikS6wYPAxWmeZWZiFGXtlYxExQ5MRAAAyeknCYlAQ0fR5WhmLk6kn6cKouKAMLYBdizvq4lNLYhQe2uzt3nl4gT7udRaXmXFIQ8SddhUxhjRNq/Wm67qDg4OyLFerVed901Z5WWrZWZ46AGi75mC5sGQmRTEri7JIJnk+KdI8TZw1CiAkSWKtI7QAhGhYa/h2zooAtWMpEqIAYW8VgHDoWnZlUGnAHD50y/qrgh3FVbcDBoo0xzjQhnuKLYIgkgZPBowxbAwQkRJxzy9Op/P5wcHB4Y0b9+7d++CDD9577z3v/eHhYXHzZvR8fn6+Xq/zJE2sk21FSRIribHVXcs5Z2xX13UXYowxaKCmTjBHTWWJoOYp9XwIDRotlSFE0M4NCjuEELKhDMQMbdz1nwo+8FCgoTdEf4WDiFzxD3loNkVD2xT9dumx4KeDrWsVV56g0Y6P41O3uESoOV4f2v52GAMgRDZGQTR5XhbFRAS2m1qQNTmpcS5iYq1FEJeYcpLfOjo42puXRZ6lrizzaVFo2Rk6R8YCGkESQWWFqGpq5TWBxmjSIwloUO8+PWE3h2RZH5P1DbwFEZ7IUvakeDIAQ6EyigEQBIbYP5V+sQIi6ImgtlwmBOa+aRc57/3hjRtVs63qKs3ct37uG29+7Y2HDx4/fvz47bffnU6n88k0PTwo0mS73W63NUZ5eP9BFACiLEudS7vg2y4MgRQEzzFG7pelJQJCI4LMY5OR3sclZwRYRLyPqNXXSFrBNnA3+vEWcI1ujfoKV1hVH88pMDzWLGje2hiDpPf/6gjX6esoY8UE7gSI8BlYXOuc1iNc1aUIAECSZFVVlXmeZZlS+vVPppP549PHzKylvM7ZWZFJ5Nlsdnh4OJ/kRZqkqcuztMxTshatJdL0vRHWYKvPbg12U0+s7wukjumOsvaObIS+7SaNPMXdOBdAEMwQnOn7WtgqICTAmrxAQms12yUS+2VDgIgSGRGZ+8DaWusskCOGaFwfpGsnpRgky7Kj/SMt2CREQwQikyxfLBbzvb1N2172TckbBsmSNDs6ulhtvfdI3nsfrtJ9+o392FTocxY9Y91aSwY1CBMRLa5EFoH+SQ3dpEUE0tTtbut6f0bG1q4OqCmVwTaLCEC8isAQAZ9gxn6E/gAADrjy+L2fDRym/IweJiQt4mPRHzQCE+lbbBNgkiZ6s8iAc4kbJs3mmV0s5tNpmaU2L9JJkfWzHojIGDAOyAgaQETQGmsjSGPvAANIfUT2VKkeyRBqaUZquEc0avkYtw1/0Ouu0SGhMiA82Pc+JoMCpncHdQnA1WaqmDEQGUPGoFDSdPVsOZvOZ1VVhc4LwHK5vHnz5vGjR1meVJu6qxtHJrTd+enZ6uQknc2JoMxzg1g1Xeu7GIQja02EdlzgyDHGECOzWJsAaKkUArIAKEkxxI7AWOMcGdHWTOPWTzi2bgAAY0D3wCEoGLyv4Z8xRthBBvQPia4A0BEVjjEimNFV2H29TnHN0OcPdv4KPoHijpsmXmPjd+mWOjqnbVtgSbKUANu2ZWFrbdd1WhZb17XOuNus1pPZ9PTi3CYOBZAlL1LxXePbV45e259MJlmaGizzYlpOEmcJLRmLaIHIgAHst2edV6BRvt6OQdWAgeRjlPzvboJPXAsCDAVIMqhsf1f6bgOovBdEFCHQMIgQdUIxYJSohZNkDJCggSzLEKjzLQ9TIJuqrapKR57U2+rxg4fG4OHh/nq1ev/+g+/9+C1wLjXJpMgnRV417cVqVVVtbBsR0c7rRNabSCFEFqJ+QjzL0GFcgVhMEDD6ACiGyFC/cRuLGs4ys49RQzoiDAwG0ZAZrC44NIaMiIAIMgKQAdaIWEQ0XOMQQVsRGxIRiFGGrPFTPu6z1Ad4B6+AJ3X9+frjCkLkIeYYsqfa4Jf7PheAAqNXYAA73wIjCYYuJsbmSc7MHDmxVkIUoiRJlGU3Xy6EsPMxMWni0IJw1yYkN/eWt/ZmpQUb/Hw6n2UZCjmbJS5lYwiMABAKolCPCQADJy6B4QYxCwuCIUNEOsS+b7+yswfRYJ2HSKKv3RgyPeOV9n9lUESQ1VHstRbBRGQAJyBAUTUGmJEFkBgYCF2a0EDTJiLt22WMyfNcYaisSJldDIG9TzJ769Wbs71p27Z7+/Mbr9x85dXb773/wb33716eniFimuaH00mXppfGbKpmyx0yMgAzCGNkFtSzBOnxZrHWGiIBHXzGAKyArnbA3VTtfD6vtg05O51MP3hwcri/OD67yLJkW3dJwkWaqSUyhXMu8U1LZJV5UpZFF3zXtMZZciDMmp4QhjxN9SkLX+15qGraQ+PjXrejhL32PpGeUPkkrgIDaE1n/2R3iBESBRDN4IFr2wQzNLAeg9Bx3ePQg22kvguicy5NnJFgxTtL0zw7mE2LJMmczYxJjHXkHDkwSb9QNCkjAMSACOOiHtebOqlAfQXc88iH7XMPLQiIXHkRWmXVB9RCACIo0PtkJMhIBKLFXL27IjA2Kuobo/fHR0RE52wkRInMBlFLgGLuY57n8+nscLm4d+/egwcPqu2KBYNA5ozkzhjTMfgAiMEbThAutxs0ZDVtFiHGGNrOizjnxk0TBWL0IQgATIry0fHlfJKLyL0HJ29+5ZXzi1WeJ8y8XE7rut5squV8VhRFXVWby5Ux1lqb2IR2TCwN1eTIwszW9FRGImLYvaE4vsgTKqsdngCQUZ7dy/65FRd36UnjYxPpx2YBIqIBJCKWwPGK0Ik7APUu1BeHOcuqxDRMQ0dAQybLkslkoh0DlBCtNaV9xIrIcFW8OezvVysEh9DqOhfqE8iIG4y+SA/xYP+WICODFjIDRu03YI1RUgEAGkABlh7oh2EtPAH6xBCY2SAQkU0cWQMsIXCSZlmRL5fzvb1FUWQPHz7e1lXTha4LxpJhoY5j8F3XtT4CYZYmI/8dGInIphkRtG3bR6FEyOIjxyjA0NbbWZH6rtl28tU7Rz957x4AOAcEsDpfA8DN/WlVbS+qbVEUzhICuqFiogvexwDY0xvQmi6GEKNL+lbVxhiOvw+MAACDpn5U97HnV1yBXbMlg9nBnWIPQARkYeHBr6CdaVsw8DZUU5U/Orj5QfMUXddZiFlm86SfSasjSPtKaCXLDkkr+ZBe7moADAV6vav0gjRYdpJtam772yMCQmIARMMdgyJISEhAAMAiUekOwiIMiCQDVDkm5BBRb5HBq+VHgDHGtgtacD+dTSaTyd7e3Q/u33v8+MQYA03HUdhhKsAgRBSEvTARGSKEPkcQY+y6yKwLXhBFdFC9gAA4g+rDFCY2m5UFIIA/8/f8kuZyf/CDH/343ccWoCgtd+0kzz2LOj7R9yCuMSaCtMEnhhQbBvW7CK21gXerfK8sLlyrzy+olT6iEYEnejIji8iQW42AKCAgoD3nlHPck1X6DCkhDk4XB5FIpF0WQgjBICXWtcHLUCOuqjyqLCKOmJSIAD6hpjjkBIazRUTka/z4j3W9w58iQD/OQj2vIds5wjz9shRCdZ8ERFgDedBeMUwgoLWiMHSPUySYduaHqRc1dJ2Vq2WJiEBJapkZhWazCeLtLE/zIsuy7PHJGW22DAgxuixNfaqDUrvgfRQJ0WuAFnzrQ4jBmVQtft8di4gMEuJ8Mj05PbMAiYWLi+aPf+fN/9X/4l9azKcAsFqt0qx49933/+//jz//N//Wj9IEOBoQ4UhCiETWkrVJBNEZ3zrHAAgDR2ECQ9p5ZEd2LeuHrOw10x9Unk9xr8ztE4GeQI/YaSUBCEuMgbVEx/WM/dG7HUOTOHRwGX0G71sySZqmRhgiajdubdtodobPqAgA0pXFvc4ZuPYXf2AZCDc9ZNbrrejCBQGDhiAGJBBBjiAMfWNORIBIQ/piPM/xJwDQIgu9c7zTR78HSaN2dDSHh/t5nu7v7//4rbcfn52bk4tN3SiQ6z2iRGcoRl91te9iBETox6YKowgKhKFvDRhjDOHl5SUB/OLP/+yPv/+j73zjlf/D/+5fXkyL2SQLnd+fJNtN+51vf/1n/7f/8n/6n/3Vf/vX/p237l2UGTKCc4lxqXMO0HQxbKotguj9sc55juxBMZMPgwFyvbH9CPkkPi6IgBCIoHDfZhKAjAASCSjhjkOMMQpEooR3GmqPyjcqLvaZ9L420A70CRoaMWnHzF7jDcmQ7iIi7d8xPvLrLC5en1H8BKLPox9QBsA4gLv9dSHKqKqit0t9VlBlAQEB1N7kiLITllEP3vXuoB7+KlVLBESGg4gWDgWM4pyZTAoA+PrXvzY7OSmK4+Pzi/Wmgu02sAdym00FHJ2xJnOMJAw+cghBM38GzNhqG0UpOPFX/+Tfc/zo/nLq/vV/7V/92Tde75pV7mhT1Xv7ezyd/uCtd+o2/lP/2H/zlds3/4//p//z6XodWGfZhhiR7LABGoogSZKmWd51XWTOisx7/4QdlQ/b2t/fu1X5JKgCPkWyHO87IQn0VWXsWQHLYTgefMguxmEm41WUFiJY5hh911li53KtdhwjrSt/oK/JpTjgtx9xtqMp+wQXe52MWgsA6if1qFkcG7wRogAagIgMkRkZRBNZw3OhZ1kbPd+hXU3fsYbGYYNwxVkxNBbwhfli2gZf1a3XdgQxImJkKPJ8WzXr9aZqOgmRkbBvw693xiApTBYkRmC+dbj/xmuv/ld//W/89/7sP/wL3/j63/7//Y37770dQ2MNMvN8cfCVN75+45Xbq6p+887tf/1//6/+j/+lf6n2Por40HU+UpKgcerjRRBjrXYwkWHS8hMXrFr0iR7Otaot10ivhcOU3XH3v9rHkZHEGMwSl+epD61LjHVEBvIiLcoMSXxoyQCSsIS8SF1iBGKSWqWHaj9XFJDIWZJqGdPuOShtb8xVjs9bT6MHYgZaz0j7GL2U62T0lZ96c/cCx9eR78ZDo6QQAgok1qJAnmYxRuUTa5Jv7M9MmisWcNYmSYLa0Xu4QtipmRmnE2dF7tKErNHqGkSM0YtEvRwyoMTtyWSyv7/MixQRsyzLk6RtKhQu8nS5XCyX86LMjEEyaAmJwBgklK6pJXrg2HadQfkH/8yf+o3/z//7F77xxp/9J/7xf/8v/sW/8ev/xdnpce6sr+syTVdnp7/zd37r8f27i0lxtL83ydy/8M/9s+J9V3eLeWkINusWhsZni8Uiy7KzszNtjbrdbkMIzlljeoJlZM9DF1FA3jHGPP5/nR6+qJQvxyigzHEO2iqBkIhIBr0ZiW0atKpJ0NZD6ieMXXc0nhl1RXZyhqB0WE15X4PJyicdQKCh3oeRBxlT5DuvwlxVVZqm2WTim7bpWl0wvmkMmHqzdQZD56eTInY+xhDaTmIwOhAvCjNHde7jwMvZqXwEAH264842PF0QQpR+9A0NCk8UJ0UuUk3K4ubRja4N9x895hjLLNtuq64LVdPWTRcjW0KLhnEYXR0iMRsCFMiK5Pbh4Vs//N4ksX/vH/uVi5Pj7eryjddf/8qrt7tmkyavbDfVYumaLrz91o8vL9dHN2+T8J/+E3/8Rz/60b//H/zVy9PLLE2so4jSdt1yucyyrOu8utRZlgEKh1hVlbpzozlQKqnXQcO72V3QK362fCI4bBAa30GQEAG0lxCjAKIgCZIAa8vfXnGVj6spX8UKaJiwBztNiQFAaXW9UVFLSb2HcHVtfQQv4wMeHehPBnt9+AhPuEO6ybAAgAHsaxfbbrvZAGKRZhwisSSpYd9NsknouulkVq/XDrE8OILQRe+7uqq227apkAUMldMJADAH733juzj0G5Wd7N2uY4ZgxWhZXKJt8i2S58gRNlVtrV0ul9uqOT47jdFDPxQjhNAhinUmRG7btmvDZDJh33GMDsEiEMA0L1+9eVRdnv78N37mj/zCz7379lsJwf7eK/sHR6tLN5tNsnyTl9PVavPo4Q/u37s7LSd7y73H56d/7I9+560f/eCd9+651K3rLgZIkzyxrut8XdccIznbo5cDDNrfTUBmFmDQXCZAn4iRIQEBcF1N8B/c4l752gJROIr2yAcRYRHQ5jFqjURkVFC9gLEzj74iIBHF4C3guOmLCDy5xV9FRU+qWh+EfSKLe2XSRJX2WX68XH2d936SFzHGrm5S2xe6ratVYlMjkFlnhLu2Pbl/7+zktOua33v3Xe/berPdVmudmpZal6Zpkmd5Wcxmk7IsXZaOU0yePJ8n1FcECQ0AEznEQAIYMThOrOsomMwe7O+/un3For3cbCXKptqGy9D4KkSJgMBirFxerAhgUrhZUSTWxLZzBjC0f+yXf+lbP/umBbk4OfnmN3/WJOl6U5ezpWfeP7pjjIlMX/nKVx49enzy8MHNmze7av36nVt//Ff+rrffvddVFYiZlpN8sjhfbzodpWFI03VqfYYC4ysfoDcQu87vE77vi1TcZ2ThjDHDiLf+HWQRjmidSEAkYzCEwKyjItgYFGERzRAFa5X/xiTgmfvAZsDh8coJlF1N6gsFdwQUcP2kGMKVVzBgzgNjQRCR9KKx/25Lpt5WAKBz1zjExXwuXbh/94Pjx48fPXrYtu3x8bFEBuTQNpH9dr3puqbIsqIo2CCgu3///nK5dM5MJpPUOmcsaFt6s7OxDIAxCjDDkLAQBETQkY9okafTKaBZbbeIOJ/P67rdNu1kMrGJMy4tmrrtgue+91lqXfCtdMHXmzTPDpfzW4eHX//q67f2ZpPUvPOjH0j03vuz80sW4yYzk5h0smibioWObt5stvXJ8fHFyfHebHq5rb721a8aAUJzcHQUKbncNjEE3Vqdc4QYOk8GiIjQhKuHpd3kLRE1fd9cZS/satezw5JPoLjPPJAQmVFphzyrerfJ1YcGjF1tsHbzHKnHIgI6ZZMFTe8waHXy7gLV9Rp6aOmJjWRX7Z6bk7Bj4XZ9WXhyneDAIk2TJHgvzMvZ3Hf+u9/97nq9Xszmb//wR6uLCw0oD/b2cmcjxaqqrcEszVJniWh/uZxMSo1E/+iv/EqSZEnmlEnIrN1ph+zGgPr2gqAt3EUASKHI/s547/Mkl4K224pDTJybFNNpsbm/eiQIk6LI89xHbtpWi34ROEucNRYSe7BY3Ll542Bv/8ZyNiuc41im9va3vgk2LSbzw1uvZEVJRJfbNnTBR7Eg0+l0u1mfHD+e7+/FtvmZr77xrW+8/sGD08wlm46rqkIyzljttOnbtvMePTNIUU7hSWCKn5iL9nGf2yd0FehDnjMzS2TgvgBRvW55oq5DRPo2iboW9Q8VH1Bn19pkt/YDWSwNdU/8dICp6r6LN+DgMHxikR3V3F0G0F8uiuYIRTKXnJ2dNU1DUd55553f/M3frKrKN+20KCz1DW8eP2y1VyaIOLLz2TRN0zzPjo6OyrJX3LychMDet77tojAikrM7qdHeBoyPFgerMIJumqtFVEqjKYpi5sU2TtgwyOVmXTfNdlu1wbOgIFhHSA6joESLkCTJ4XJ263Bvf7ncXywmLsauvnPz5vLmrU0byuWeSbOO0aCttusicS7JKfqjoyNirpvtbFIIgs2Sb/3MN967+1+s12uPbjmbb5rWi1ibGESv65/ZB9/YSvrqjCEPxUFEyLqnVap/JM9+Up9AcZ+Ytqc/kIBIYAZhxcKsIwIwIKL9t/qWBCxaRRP4ihKvoKPGYdbaGAD6ukbpnxYyCgv0oOZT8snSYhpQXl2SupK7nRZ6gycIDD0dXPr6CBESSJLs5PHxT979vdVq9aMf/hARvvnNb64uLiXGxWLRdZ1vm9PT88PD/UlRTKdlkti9/YVNEjI4mUzIYoyRnDbsjwCAhiyQEBIRg05uij2oMoTEV+oLAGB6a0AIDIvFYrPZtMGnLsnTrtqsmnrd1tWtoxuXm7Ul23QtAEWRruvari6LzCDkidufTN547dXbR4dlkh0sZ4WT1episb9XlOXixszl+fm6Ksqk7mrtktYlmIDkzm6buj0LIXBT1ffe/UmWZc5Yk1jfRrIuSRLk2HP9rU1RmDFIuLy8NM7lSe6ydNxOo7Dpp1V+bMV9bgOFDD1HkrU1vr6teJZ1DjiEtvORiUgLxjOXEREHVg0UFmOsbwMARM+pywgMCBBZjtDWnTVJjJAQ5XluHUXfMVvvW46GOQBYY6/UnaN/yqjjLtP2Q/pKOq+KkDUsIGRAQai6OklTbQUXQogxqIcdui5Nc+eS1WqVZ2ViFA8x/96v/cVHjx4Ih6aqbx0erteXF8cPyRhBu6kqAHBJ+u1v//zh4cGsnBhjhKQoM4ZoEgMETVfb1PnIwoGDjggQYwwSMjBLtNZywBACQj8OUikhPkYYV5dSNQwR0abakKMMkqZpCHk+K2No6+06eEnQ5C6ByN57EsmzLJ3PE+d8XU/z7Je+/e3Xbt/qmipxNsmy9XZd7B1O9w6K2bwLfrvdoITjxx/sHewTUe03+4f7xXQC3s9Ce//09Dd/67duHB0Zl7755pvr9V/KyPggkSO6pCjy1nd1V+dFSmA636Z5ktS+qtvNak1VVZZlVhbWOmQOgRFRaCBpAQxO6bM195NaXLz6mXbKNgiAgQhQiEz/jukzoQDYZ5OABMAYrYgc3QkRaVuPYJ1LRdqqqtu+6R2H2AkTs5Zbc4zRCAlqEt884QTikBK6RggQhnYI4y0RwjzPQ4xVUyuUocaAACdF4b3v6lhmeWLdW2+99fjRyVs/+tHF2XmaWCJwhjj4G0cHEMO2qbft9sbNm3t7B3mazSaT6WRa5qVzViDa1HahRcTI2iO/5SCAgoMZ9RwBGE1P3mAYGDACyIICAmyJ+Aoa69VXEMqyXK/XMcbZbGJATk9Pyyz92ptfee+9+zFIW7dsXfB+u93GGLMkfeP11175yuuZdV1THZ88unFwsJxNvfdpOfHM27qhLOu6bts1SZLM5mXbbI9u3phMJiGEn7z37maz4RCzafmKe/32jZv3Hjxqzy7m81k0ptlsstkMiJgDolhLMfqIwiAIUhSFIWeQ2rbVlESS530hFqJufSNLFBGvYzK8sJqzoRz0qkRu1zMbQ34YVFxbp4z5CCKKzE3j02TinAmtVE3dtj72g8cMPykIDMzCTMY8paZ4rcEFGBOzQ43kyL2SnstiDJIlI7HPmq7rOk+z7XZ7+/btv/Hrf/173/ve8fHpg3v3b9265VwauhbJrjYXWQqh84CQl8nejf2vvPp6nmYJqQnFyN5aC5ExMAkIsBNEgCAxBG/IKnNBOx4Ysoi6twCiAR7SIgICfSlO74LvXBcNFfBpmkqIq9UKAJj58PCw8aFpGmsNGmrbNvqgtebb9Rry4s7Nw4P9pSFq2xYAmqZ+7/2fENHXvvGzt27d0pkDTdMURXFxcfH48WNETKxbzhdE5BDu/vidC5cCgDp7XqFPJCTThoCGnLHet6xuDwAS9vlCoqZrvfegFZcIV8UEOw2lr4OHXpjiauJg/L5x56adiYHP1qRBYowhdM5yFPYhKBSvoRs8a8O4coKHf47lu9ddsCDsjqzXRJR+sm97ahNLJvgQvTdINklme/ur84uL07OTB4/+6l/5K6vVqsjyWzePiGNTbTn4hBJnsKq2eZod3jhc3DjaOzwoykRiiACJNY4Miokxxs5L9MwgEC2AoGDkEIUFkJERWITMuM5RhBERDLIAqf3F3ipAz5zs76qIaIerGKMSA+bzedd1J/cfpOl0vEXOWC0QMgjvv/eTX/6lX7h160aepTHGPEmKScEh3nnt1aZrT05OTk9PRSSdFMaYyPzw4cPJbDqbzebzuTN2dNVu3rwJLDdv3kyKjTMG0Lz6ymE05mJTSYyIaJxtmxiCV3C68Q2h1Rw4GtJZQ03T5MXEWmvTZNQd+EhY8zPqSC477a3VgwnDmHoZiiBYWEQ8x6ZpJEbjLAN03kexhpxumLuVNLuWtV8Y0rt9HyF9lAMCGm9J/7OaARDwbRt9AACXuMTYk0ePf+PX/79E9IPvf59DKPN8WpZd10wm09A1YqSu1kc3Dsoyf/3V145u35Q0dUWGjL6NCDGEzofIMU6KMviAoIiX19gr+CDG6XA1MGCsJTTCECRofmYgomk9RV/KMd7Spy5NNcN7D8zT6VREtk17fr7NXDIpstV2E5tgEMs8I6I8zX7wgx/c/cl7f9d3funVO7ePj4/Pz3B/f3n37t2iKF577bVt23zwwQcmS27cuDGbz2ezGSocC5gnKRHleU57ez+p32qbJk9TxG2apm3T1XW97Togp9wgDlH0fyQRybJCuyoZY2zivPfbptEZg0mSMIJzDp6IWJ4tL0xxR70cLWifEN5xFXZ38LFhxNhAGAAUKau71gIbxLZtm6bjaR7HSnMAABpSggqQRREaFgYCAF27vQznqYli/bcAgDCLFkjFGKIPFsmSaar67PjkN37jN370ox/dvn17c7na29ublpPNapUasiDFtLQW15vLO7dvHd04uHXrVgQ53VzariFEA8aYRIQ5RoP2/PzcN3WapmQw+mATM96HwBJFjBgyyKA0c0BCJDREAEYiX/XFeRKhkx1RRZlMJqHttJp8f3//8qLSITwi0tUdMCNiYk2Zp9M8efjg3n/4H/+Hd27e/PrX3zzcXx4fP1os9iaz6d7BweJg/+DgwBXZfD431gZhdUk1gR9CODs7264u27YVkdPT07vvvZ/neRfhdL3uENEAsEQfJAQRIUQexvt4H/RUteGpSZIY49n5pVJWAMDsdIH49FK+MD6AkRMzQsoj92BUXLW4coXCAoxk0yEvH2N0Fr0PF6vLbV0xLLvW54lj7jmTPbG6B3dxcE97e/QRbgkAMIjmEYCvwFqtFhSi6Jl9YDJN7O7f/eDdd989Pzk92j9Ajgf7y66uqSyCr1977c4H79995c7t+Xz6yu2jV1+5NV3Mqmq73m5ee/31zWZ7cbHa1F2Msam76KM2TFbClEushJhKSkSRwYsIEAzETiA0hsDoTApCMtiXimi5xNPsn6fcML3hEqKW1BJRkti26wA4TV1Z5m1dNU3jOV7GeOvG0Xe+850sS1ZnZ++8887J4/LGjRsHiTs5OVltNoc3jrQ9/9nZ2baqHj9+rFS19cVlmiRZls3ncytwfHxcV9XlavO7P/zx/fv3yWUiYsk0XUdXreLQIMUYI8jFxUWPgxD5GIwxaG2/3kLwHLuus/2YYgvwInHcZ8tTZmBXL58p45KCoSi0n8iCrBNEum1YrTZd6wGo67oYc2bQkqldxQUwoz+kLbo+YosRHAobYScbPlTfEGAIsdpshdk37b27H7z79jvOuXKSb7dbEjjcP+DoUbjdbn/ma28eHOwRwf7BEhHatt1u19Pp/Hu/9dt13XCE2WwxmUxQqIp1jPFyvfG+tYmzwXnvs+iVseqSHI0zSEAUGSBGMOTIjesckYQ1wfts2rFeb5ok6ulWVSUhlmWZJEmMl7PZbLPtZ/9mSU6A56enXdcUWbrZrrp2+/qrd978+ldfuXPj7Ozk5OTxu+++W1XNjVu3vinfms/nje8CRyQ6ODjYbDYXFxeIuL+3N5vNzk5Of/S9754+fFxX1Wy+7E8jTTGls9U6eE7zTEL0wTuTEFHoPCIgUl4URVEAQNXUTdNE740xk+m8ruuurmKMMJBYiEjiNTVnV67nk6/XGa3Bm5SRKEODCxtjJGu6rrOEZVmGrgMAnY88urPeewEYu7Zr5K5k1n60EJFATNN8SxiEGaGqqsyWbduFPBXpx5+MlTzyZEpp15nGJ4s0RZhBnDNDNmoYFCUMABLZ5XnXdavV6s4rr/zu7/32+fn5fD73oW2aJnNJniUGCUi+cudOUWQ3b95M0j5pMp/Pfut3fns6nd6792CZT+8c3v7P//P//Ff/vr//+OR8Nl+U5TTJUjDJX/uNv/bNn3NtaCeTiZsV26Z57dXXncnOzi7+wl/4N//0r/6p7/zyL7/99tvf+vlvPz5+OJ1OB2ooWDL9LVa8THFG6rv66Q9jFJumaUSvDlhRFDdvmtPT09m03G63bV2Xedrl2aTIsyR1iTEgbduenZ0cHu1P519xxm5X27pubZKcnp7ev3//9qt3siI/Pj5+77330jTlGM/Pzs5PTkMIm8sVoVxeXk4mk9Pzs7t37+7t7XnG85Mzk6SZSXho66Qtd11huhi8Fx3MZq01zhZF0cXovb+4uJhMJstsuV6vm7ZFxDx/9nweld+/RuKZch3eJINC89A6atfH3VWpXXniTSJA3FSVqnXb+iwtyDgR4QjB84j+SuiHD/LQY2L3mOpAj6tLH7ClJyZ/7PIQtIv8tJwYY374ve+fnZ0tZjPftrPZLE2dIUidPdxbvv7aq1/9ymtfee2OM+jI3Llz+9GjR+/fuxdZfvL+3dlsfvL4fH25+RN/z5/68Y/e+cVf+GVEZ13qA3z/hz9+eHJ6tlrXnX/w+HjbtjbLjk9P/pP/7D/9c3/uz7HIzRu3z84uXv/qG++8806RT7SXFJHOCTTjRXycR7Z7S5XoyMyJsWVZWjJpmq4uz7M8mRb5dDaZzSZ5notw17V126RFrg/x6OjozTfffO21127fvv2Vr3zlzp07t2/fns/nesOPjo7u3LmT57mCx7deeeXgxtGDBw9W201ZljokQqHGkSaFw5iJ3UZmMBDnYSj60NnZSmVRl/eZ8olqzuBJwq+GYtTPKzTGEMiouMCw6/jCSLrFAe4dAg51zwAADFV15awV9heXazQmRuEIPkadWqrNcxEDeom2P4huLqOO7i4Y6S2TvsOo9nfAxfryesK2bW1irLWr1apt2/neZLGY1W3NHIo0nS9m+3t7RZYaRAIxaWYcnZyctY0/v3w0mU3v3r33wx+8/Y03v7Gu2qNy73e++8OHx5d/53vfO1tdTuezH7/99gcPH/+Xv/Xb1tJms1nszQG4a9v3f2/zj/1Df+qf/+f/haapqqpKi/zg4AgNke2boBGKksJ2qCkf6zGNt+Lo6OD0+FEdvRUklEmZnx8jCTjn0ixZLudZnmRZ2sXgyBDYi9MLAFgsFovFYrZcGGen02lZllVVQeTEusO9/ddeew1Y7t3Pv/Hm18vpxGZ5FeJ/9Ff+erA1GG6DT22i999zJGAAMUhkKEmszhsco8neLwcKIUSQPM+tc3VdhxCHwrtnyB/Ux90NDsYtTBWXenBXdj+2c0PxqT1df/Ac8zT3NeR57qtwfn5e1zU4M50UHCGEaG1kba0xwGpmmDYzPjN4klAGvc+g1p37pLAADpXuiOicy5N0u90S0eHh4Wq1evj48XwxD+dhNi/3F8uD5aLMcuEgXWARY7Hrwt37DwQA0VR1++2f/85f+2u/bu0Hb731e9777//gh8env3544+jx2al//64xZjKbbtbbvMiMcR+8f1xVsJjCP/xf/xP/w3/xf/TgwYPF3nJ5cHh5ea5RkfeeqO+ChgIEgfnaEBt2XLsnNzMBlKIotA1ZU9VEVKTZ0dHBpMwnZUEEZVnOF9O0yJiDIxe9bPY2xWRy+/bt2WyWFrlOsl8ul++//36eZgcHB/uLZVEUEnkyLc6OT2yabOqq9d1yf5IUk9W2XRRFYAw6ZKnfEsU565KEmfoCkBiFYSx7yfNku936ELz3pieu0EeESZ/U4g43a9ewKTJARMB9FSQiytAfcVTu3jd9ckcbfxARIERDaE1kWK02lxfr/HAPBsxrlykGAx6sbxoz4mIAO8DckPvm/lkKAPYWlwCVp+ObVusymFlnqR4/ejydTqfTPMvTWTnJEychhhgJwFi8OF+5NLk4X+3fPHp478FkNltVDdv03/i3/m2XFDHGB4+OjTEn790lorIsm+Dn8/3Emu36ksXfXC5+9le+/su//Mt/3z/wDxyfnHad1xq1opgU+eSqrzcSoiALA4nyba6XXXd/NAdEEkI4PDx4/PBh1zVllvuum04m06LM87xtaxFxzuV5rq1zYyPT6RSNWa1W6/XaZWkxKcuyBICmaZyx06IElvPTM9+2q+2q6VqTJmhoU1XkrHWuai4uTs73bxwxCBpyzgIblmisNYnDlvtc7pDa1WG0hsg5F/1VFCTSt95/kYo7ru+d0Eestcg7xdYDxDNa00G5dzivT916BMK+HE3Zui3L+eXFq7dvKJggw1ztEIJVOzqkcK5UVuL4RbCT8ui/TtNRIsNsnb64XOcgTCaTuq7P6/r27duzyXS+mKJha8CR0eJtZo7Ri2dEvHfv3nQ6ffDgkXPZD3/87u/87u8+Or/cBDw9ffD4vPqH/sE/8z/7n/7P//yf//P//l/897rtVph/7lvf/qf/7J99//feff/dd1Jn/sh3fvn2ndunj0+WB3t7+/shhNPT09dee41FOIJLxp6eCEObqY/5gGRHd51zXddNy8l0Ol2fXRKRTv29dXQ0LXPmIBCV0S8oEsX7mGRZURRJlgZhhbSqqgKASVGWWU7U96fx3jfbyqSJy1JHxfHx8fn5xa3p/M7rr5nHx3VdM4gxJssyQgSBEIJ0KNLDBUTEHMewXsAbYxJMxnidGbRBzDMv85Mo7riyYUd9Ff+iAYsdvpvHzgm7xoCZka5aXY8HERGXmhgjWuN9tNZK9MfHp/5nNCbrM43ee2utgiaa1+5DNEZ1R7jvoDPsl1q/xREFnEFEkLFVnuYsBLKytNbS1GZZVm232q0sSSxSQGAS4OjJaicOYOZtXW23NdkYAx+fnvytv/13vveDt4u9eW0zn5dQNV/99s/HNKli3IYwLUppOufy7/zid6TpZFvFtnFBqov17MaB0gCSJHnjK189OzszzsxmsxjjTsEVjdbhYz6j8VYLRyJAxr29vdOHx1VVicj64rIoisPDwzTPi2mq5TTB++g5TyYim+122wWf5NlsNpvMptPp9J233tYeF/o0nTERyTmXl6Vxdr2p3n3v9+oGTs5Op8uDvb29xyfnre+6EKjrDELkwEpc3G3sEnHcPOMwGUQDHUXoB4V6hnwsVEFTUR9KSPU+QByUdcSnZGeq4O69Hr2C0U6PIkNLImstsCTGAoBNE2PNycX5utq2HIJAZIgiwbP3XjvlIMv4v1J+Wck7XReCjzHGGFi7O4WuC23/7WMbDiEAYKQIuKmbdbW1ebpYLouyJGdny4W1zroUDMUoddd6H0WQjLt370HH0gRGm/7k3sNf/623/95f/a/9M//c/6AKXEwm2WTyf/m//t/+xJ/81b/wb/5be3t7BslZajbruqqq9eqVm7cW01lou9y5JEkUUSqK4vLycrG3LMtydKv6AXd949C4UzH1sbAFRGQfEmNjjJPJBB2tNytrbePbLgaXprPFdLFYlLNpWZZlOc3zcnV56ds2TdPbN2+98dqr8/m02qzv3X1fq/1FonPGJcb7tmmqMZzYbKq69W+8eauL4d79+2js3sF+OZ3axEWIUa0LiTEGgA313SMtGSIy0HOOQVtwD+ie7uHXXV0/A2xUKYCe8a3Ub4mMApbIktEW4G3bRglogKwRwr5lTYw6sI7QDmbO1FXruziZlVGCjx1ZBBIfO0BOM8ehQ4mWADiErrEERZak1oGPqXUoICLWpRFx07TnVVWFsG7rjW+7EBiE0BIR+8A+SOtj52PnMbIFJGHfNYTCoWuaummqpq3brgkSjKW2bRQdZWYdlRqJAE0TYkQyaVZ1bTop2EgxLTbVNjAhWkOJMElAQut9fPTwtJguxLgPHp38zd/63p//S3/1T//qn/xn/8X/yR/5e391Wk5TSqZpnqH5Iz/3zf/Gn/mTfrMqE1Ndrn7mzdff/uF3hbsQ2xDb9fYyn+Tz+ezo6DDNkiR1RVEwM5EBY4SQERigX5QmghFy2lNMx4GgMHIEjhBDH/iq6ep7FCBr57VpOVOzsre/38XudHW+PNpbHC5dkUwX88DQtB1ZFwKXWZHbhBhyZ1+5cbQ/n3XVZnVxenr2sG5WaUZA/vzysUhwCXW+mUwKRogMj45P1uttBMzy0rP83gfve+FiNmGQTV1hYgLGi+2aISaWHKHR3nLRc/QcgoQQ2asnBgCIRscjfEQ5y+/TEISgL0UYEqnx6U+pBR3GaccYY3gCZHgKZN0FVq9Ogvr4UThodwz1bLz3ghA4Pj453jR1E2IUDhy7ELvgo2dmMGDSNC/LaZrmwtg2frutN5vq7t179+89PDs7a5pOH2qMsa7rIHqPWCQKI4MIYwQBHXHSFx4hEIp25ycbxYQAzEBoiCwIRRDv/dfe/Jmm87/2H/7VP/On/tg/9d/571qXzKaLP/53/7GT+/eh8//CP/vf/4u/9m//fX/qT3LTNJcXy1l2uL+8c/vG/t5ce+ameWIcadNeRBTqO0X0Lf0IRTn7PXO/b5QEV4V2H8PrRUYhLTLruu7gcG+5v3d6fgKEdVsZZ23i5stFWZYgWBaTPM8vzs8JeLlY+NC++3vvnJ2fZLm1BJH94+OHm80KUdaby7PLM+hHBJgkyY6PT4Gw7fx0OvUhINnHJ6fGpXdef81l6aPjM+fcjRuHq+3Kt13wLTOTgDHGUs9+poEcRXJts/td+X183F3XSkQYGD8UJYxwrO7IAGC1YAOuaAO4k+wZERB4EmroOzIBRBadVOO9ByTmcO/eg9dfuxOj+AAtSpYAIoGgMNis6MSsTs4vLy83daVBQ9XUIgJEk2mxf3Cwt7dXFIUi4XXdoghZBkQLFkh7ThOZPutLhNqkiI2ByELEMfatkwwh98zu2XT63d/97R9//3t/9Ftf/af/7J+dlMXF4+Py1fSf/2f+3Ob05G/+zb/+l//S/+sv/3u/dvLwIQH88ne+84/+I//IN7/+tSzLdFr0q6++ure3lxWFruZdaAWuEoHY893Uj7o2b/9RkiTJZrNJ07SqKufc0dHR97///UePHinw572fTqci0XufpunJycm2qhbzed00v/feexeX55P5JEkSmyapwcvLSx3NXm1qRJxOJsaY1KU2Sf/W3/47RT4Rm8Qo8/liVdXG4fnp6XQxvXnz5kVyWm03wbd5VnZdZy1YC2SARGeh0YevCwXkD96tcVTcXTq6vqlkOwN9KNbX72kTIVCUKozuL+z0p6Gh8ceuAeY+0orWJkTEMThnfQzHJ+dnpxeJscjiE5egyxPmUIPQ3YenF6v1Bx+8/+jRI0Sc7y2nRcmoTlJM0/Tk9Pxw/2h/f7lYLIoy800DkW0q1jkyjBHBREJDME4gUVY3EREbpy16UKfXaiBM6JzLynK7+vGjBw//sX/yv11YmwDs7c23F6ezSfmv/Sv/6//sP/5P/t1/99feffudn//mz/zRP/Kdf/If/yfOTo5PTo4ftPXp+cn+cu/wxtFiMWMQMP1kVlL6EQ1cIVDFFRoq8D+2mX1SAxA1tLfWrjeX8/n8zp07v/M7v8PMY94LUXTg+g+PH2/rar6YPjp+yCivvX5n//Bg22yFsK630+nUoGlbT0Sz6WJSFF2QYr73e3fv/ebf+tuvf/VNtPndBw+Pjm6ev/WOs+byYr3ebl+7c/uN19546+0fn51uX3912rSdnhUhOuqJUlqR8lzXda3i4pNw1YCIChIRDuGa7hbUtyAnIthpraVnx2236xiMCrprY8bYX7VWeVvW2hCDNQk42azq45OL6XSeutBUTbNpjx8e+64JUb771o+RrH6+nGQsdH65rqpqsVhE9jrbtl411XoTboX9gyWBeOO1Tw5cJX4ZwKAAkiASEAEIkiUKESIRWXKEEkPHHRNRXqQEsN2spnmWEJSJmU9KbJvXb95MHF6uzv/+P/3Hv/7arUePHhnEV27d/OF3f8daS8AHe/tvfPX1LEmzMpvMZ1lebjmO3YgAiQc8i/rJjCMY/USC+uNL0zSaCxxj9lu3br399tv37t1rmkZr7LquLYpCO50dX5ykRTqdz/YPD155/bU0TduTLmH2IUym8+iZQ3CUiEBTty4t82L6H/3Hf6XaAgJlWVFMJsCY52XbdXlZeO8fPTrGo8NXX3m1cI9XlxtnXD/vk4hEjDFqDeNzXt1HKS7RTqftoboV1IzDgHXLVSRokHDIuz4F3+yCCTKkf3dQiN6jIC0GBkGduaxtbNAAwaPj45s3bkyzSbutz5uzrq2bbSUiLECGjLWI4Lu4XW/0CW1WK5FoyUDwqwBG2CGJ7/YO94wnY6wkDBIhAouOsrqq6um5Y4RABi0giyE0RMG2njo1YPc+ePDuW2//t/7Rf8Qm6eP7H1yenfkI0m3rzSayf++9d7U64OLi4sEH72XOHh7ubTYblxgHxjmnvrsSr8D067zv+ggDYVxQtDnFeBufX3URMUmStm2dc4vF4vLyEhHv3Lnz/e9//xd/8Rd/9md/tizLGL26anlR3Lh9a7Kcf+XNN27cuNEFXzW1tTbGuFwurU3qbYVZ4ciuLtYmcfuHRz94592/9B/85YOj2bb2mPk7r7z243feXSwWnQ+t7xLrJMrZyfnR0cHNm7fu37/Pnd/xD9GJIUIBiF1HMlz8H0RxdSvfPQgiioAB7LNOA+ilMxxjjDAU6oy0BPhQdk0GwBmH6fE9/ix9XAzIhEZELJIn0/ggItbZRw/PHx2dciftdmMRM2uczY1FlJ4F59SChggC1hoRNoayJMmzJE0yJ9Ku12fsraMky/IyCKEhR9aQccBGIKKgkiT7EX/AgpIkSew8IpC1Lkm8d1GYER89evT666/98i/9wm//9u/+5l//jW984xuLvaO/+h/95ZtHe7PZBH27t5jdfeetJEmWB/sxxtTZDXCMPsuyg4O9YlIaY6quTvIpjAmawcdFRIPEfTfzvkrnE2gtDOShLMuY2YeYpqm1dm9vr6o2d+/eXS6XZVmqOxFjvHnz5mtfeS3P8xs3bhDRyenjGGOWJYIggiyCxho0IcJ0tphOpx3z//Pf+neOz7vXXl0wQ/DRWjudTuumK+eLh48fgUhZFF3XnJ2cTKfT/f39s8fHZABREEWnC4gAEEKn/HkGGLz8j0wTfpTF1b18V/Oe+MDOz8pkHR0CGcb2wtgY70mO2MjWHR2G/uDIeknAotXBAyXecRu2VSPdSbNZL6aTfLlMLFpHsyJVEn6aOOecQXHGJoldzheWIHVJlicKZDJHRjg/PUuK3MdgrU1taiVBNH0kizDuMDJUCRlrJUTmSIZM4qx3HCIwuyw9ODj4tV/7tV/5lV/5o7/0i03Xxba6uTefZGnu3EXb3r/3wc2bN9u2nZaFNk5dLBaHh4doKC8KIBJEsrYv2EDkqyGYTz6IoY2ufKImEjHGs7Ozvb29zWazWq329va6rluv19/61rcuLi6+//3ve+8nk4KI0jRd7u+ZxM4Wcx/j+vICjUmTxHdd2/okSZxN3SRr666p673lPKL5r/6rv/Pv/sX/5PBgenp++drrSzT2/Pzy9dfe+Du/89sAuJjN66aq6zoxFINsNpvFbJ4kibXWGqPziZhZgCBeLUvcmYL4EdLzcXcneI2aNCruLmGFQzQWRUSiMiccCvjgpY+01Hj0DVDHV92tuq7T9a3vj9wAGgZNZlnW1F1WFt63JC5NU2HQhldJlr33/gev3rxxsFx2dXV5ebk/n223deTGIDhrU7SHy/nB3gIAEDgxNsvSLE1DCMDRJCmHsG2bIHJ6eh6jENk8L+u2nU5BUsceyVk0SAYMWYPADF3X12w655wllBhCBwCxNYoBf+vnv83MWZZkWbbZbIoiC767vGjyLAHCervOiiLGOJvNytnEOmetdWkCREAoCEmSAJHsMGt3bQMR2SSJgQNLDAL8UUDRaClGUTsaJChlR6+irus8z2/evGktdV23v7+vJvntt992zt157dWO49lqpd0V1fMusvzgaHlycprlufcRUNKMsnzy7k/e/1/+b/4Vz3Cxrvb29jxL6ZwPzMxlWdZ1Xde1MWZalG1TGaJJMV2tVvv7+5eXF8ycZBmzN8YkLmXmuulG3VPTFvtGLM8miF1rcUcc96l7obgCST/1DwZjuVvyMPqsu0cbT0t/2CWwj0a9v1l9y2hBIEEgosBc1c28LJvWV029N506xCB8dLB/uDfNUoOIN2/eLNJ0s9lMJpNJmQPQ6enx+vJiNpvNF1MRaZrG5dnvPXg42dvTMbnb9eZb3/45DqHeVsVkqr0L+rPCHkkgINFRImiMS9M8hsAd11/52tfqbZWmaVvVTV0jAhoTQnDWxMhR2KLN0mI+Xy7397KyQCLt1Ez2/8/cn8bakmXpYdga9o7hTHd4U06VlZXV7O6aq7pYPUtkkyAM0bIgmRYFkLAsEYIt/zBg2aAh2RIFGzT/GJAp6Y8Fw4AN2JZkS3bbAtkUTbK7qruqB3Z1s6u6pqzKoXJ+w73vDmeIiL3XWv6xIuLEve+9rMpkdasDmRfnnRMnTsTea6+9hm99K+DQw0NMaQji0lgxvy/o6ImNP5iRsB/Pgap1BCgz82xW3759++joyMxCoGeeeYaZKXBVzTvJTdOI5FlZFzGK6MOHZ0/deeadu/fms2WnXVHO751f/o3/9f/27fvbch5DUe66tGLaNZ17eIerg4uLi6IonOawLMvdbrfZbOZVtV1vJGWIKCm5xQiiXeq80lOzKAIauX+lTw4BPlFwe3151bvyoAUZeMjACxZdMF1wEQd+gD4pgX1N14DEnV7f7QQd+sP7ad6bc/xF6uGINp/PgXC93cQAR8t5Na+funnjxz/y4YpSFfnw8HC73c5n1bPPPPW9733vje+/3DYJUOfzecrtm2+9HmO8eeN2Wc+efvrZ+6cPLTutdHj33befeeaZ5WqeclZDstA7RuTOITOQSvZlFIqIvOiy5u3m1rPPmmgZ4unJyXa9KYrisEkiqSqjY0diWcxni/lqWVUVx6BgyJFDcKCtONgSiYi07/S+j+Du44+DCvC19MTM/eMS7BMfiNwVHsH1zni+Wq3m8/lms0HE+XxelmWXU0KaL1YHB0cptSAQYyzLkijsmnx88869uw/KalHPFv/2//Tf+s3ff2kx51CU1Wy+2WyIWSSFUKfczuZVETmEcN5sUwer+WInl82mm5VF13XQs0cposUYkAmSFmVMKeUkAsbs3RX2eZf3LbhTC9WV4JhUuOZyjWOtqmpXol004WoeR/naEI9BMWYGk6FfrneQQwPgGNbn5wfz2eHharVa3b55+NwzTy8WVRC8dbTquu7G0cE79+7+5pe/cnh4uFitbt+ZxxhD0bMglkWdc37tjTduP/u8OyhnJ6cptc/Rc4z06vdefua554WJVIMBECMRBiZmlD2izQBDjNV8Nk8Hu90uhIBVVa8OqChnZaWqJlqUwXWkM9+HEARQkoSyQCakgAiGTKiICMQ2QQNNEXNul4GaN7vqewW/p+DuvRHdT8fUGRkfhIhyzm68uTCb2Ww2O6zKRASIBCyacpsBgDkg8MPNGVJRz1ZHx7f+jf/Rv/krv/o7z9453uy2Sa0mKqvK0/6ImCUBwGq1atudiHRd08XgC2bXbJzwLOfMxjTwYZYxZvXwP5Lq2MjoyUQ272kq+HjAdB17JEENwBuSw1g54xl1IxMRAw0hACEMpPiuX69ADYd0A1w1IZB6mgsa9H2/AJgwcLasJrN5tVzOmUE0UU65S8zxi1/89bOLi5/42Mfrup4vFouDg9XBQZPy0dHR088+0+y6rPKFP/NLv//7f7A6PHjrrbcODg7u3X+3Koqjg9XTzz2rlkmcn2vyo4iqQgaGoKoCGEMoF4sFc3r4EM0sxmKxMA4e2wuuqM1ATcESqBo4UzMAGJIi2ZDG8THwvIObvDBVtGP93P5+3stieKzG9QuNXsp4zpgPkqE7Yt/APsdYlRfrNQDN5/Vsucg5r9ebi4vzw+ObF5eb46ef+jf/x/+TX/uN3zpcVXcfPDy8cdw0WwGbLReX2029qNvcVkWx2WzqIjbbi4Bgmi8uz+q6ns8Xm80mxti1rYNIgUhT4liEEHJODt41s+QdWd6ToPu9ogpXJHj4h6ohqLtfHj3odfOkWYhT+CKigDKipxZ9q5pebQwvUE+OC4EY1ETEeRnVVMGMKJua2eHR0eXpg7ffeeejzz2Tczp9+KDi47qsX371te9+97s3bt357E99PsRitlxsd+3Jm+/Gk4evv/k2MhGFP/j612NZ/OLP/8K/8Bf/uVlVIeI3vvF1MDo7Ozs9PV0dHS45WJARqK59nU+P7nWvX01RNZZVvQjAoW0aUyAOAVklBwwhRlPl/on6WDXHyJE1m2eVzcA/QlRQJqOeYamPagzihohedj8ixR7RoI9O2aOmgk3IUqca1ztLDp6GeYFXEj2eL2azha+0s7Oztu2IQixrAzq+eesv/yt/9Xe++rXlwaoTxWjEMRYVAIQQttutZzTCbAYA3qy9KENKtt1ui6Koqip3nfMKdyn5DUvOANl/joiYgpjK43zN9ym4Ex0AAKASAL0uh4gMTFW9+wOGHo0mIuRsUB46oN6QdQEdexy4GnYUpu9cfoKqA8bBBRcGtPzl5eWN4wMA2O622+26aeetdCdo9zZbSPLshz7MIaoBcvzOS6+cXly+++DkrXfe/v5bbzUtdBlu3FouDw9+5W/9h3/7P/gP/52//m/9pX/pX6zK+Ou//usn9x986lOfXK/Xi+VqavfAELariEU7ACYiUxAxFAUmDIGKQrIxsBqR5kAREDVlIPJOjWwAAKImXYoch5Zw6J0O+mbdAGNFjpi6tjYzQuoptMZk7+AZv4fUTu3jQUZ5tMTctHUbt+vybrcDgLqum6bxWO9Tzzx77+4DDGFWOptTO5stVsvDpPY7//ir/8u/8Te+99o7xHBydkEc7jz7oYuLs/msNIQkXSyDd3Mx0xiDpDSrqq5pFLEuS1DdbTbY558L9L13qBR0gmTf1tTUqyLA3qvC7gcILgKYCYD7tz03xX4Twn4bcut02NkMjAiDzwEMwDEYiGrG6z+aP0MmE1HAHhMOCupd2iXG0LatCOwyvP7OOweHq1s3joVDtTx45403v3/33gsvfrTM9o0//ObXv/Xtd+/ew1icX65v3n7m9OHZ+mL77/37f/Mv/xv/w//4f/Pv/5f/1//L3/yb//tvfeObf/2v/8/v3bv3pd/44ttvv/OJT30KwPvn+SGkpKqgRkSiBmghEJBmM8kJBMsQ+9p/g1xlE0WAtm2rWOfOe7FopBgjM/UJGrMRTtMnX4Cdgd1zZX1LCzUFMzJSA+i7/BkBiTfoNfWWgDYWRb3HYYROtS+kYGzTqMKsaRpVLYri/v2Tt956o23T7aeevnnz5qZpBKiczw9uPt2Jfvl3fvfv/b2//5/+5//ZemvEsFwtQ6cGdH7+cD6fh2BoklJaLRfry00R2JWR91N6+PChmS2Xy7Ztz8/Pq6oKzESBSFPKviaT5C6no8MbneROkpiOUQVR8OeFR5IRgTAAAF7tQQIAaj0MCmDMnwMyELKJZpHUZp+AWFZmtmu7EBkBmWNRVIisOROFGBnAVIW5TKlLKa1Wq+12iwhFEWMMImKmiJBSx7HQQCKYDcG9S7MutRXHtm0OFsv5reruvZM33r1/fOcprGeLqmwfnqcMB08/9+bJ2a/8+pfv3nuwbuznf/FnQlG++ur3mzYBVRm2X/3dr12c/cf/9a/8oxvHd9aX51/+ym+//T/7X/yv/t1/51vffukbf/idn/jYJ1TBcsaUMDByBqCCqKgraFtmziqpEwNAQxPiGExl363JzDlPy0gEWGBhRVQTEwMRSQkAiqIAAHXqRSIzMDFTYWBUCPs2M9pDLiUhKAEYGogmT6B4QB0EFM0EvE/lwA+x1wjIQARmSEBEipkUNWkW4RCquk4pefPdruvW6+35+eXv/M7v/s5vffVrX/vDT3z2c8e3n5ofHJ9cbL/zve//g1/74q/92pfOL3cH81jM0UTW63VRFKGoYlEWgUy7qi6rqtqtL194/vnvvfTdn/u5nzs9PU0AIlLXs5xlu94ycxGK1CZGXiwWWbTrpIxVSinnpprVF5dnQMQxFDF40Y6akgclEQFwNNN9Z/6B6DC99tfzwNOI1d6QMEfdUK9AABFYVYl6lgMYHDUdmj6Md9NfChSYlNAQxDdmMzSIHLAsm6ZZzurFvNql5sHZRb1cXa63MeXZvJYQv/nqN15+8/5G4K/+K//Sv/bX/vX/5P/wf9y23cnJw2eeekYU/5P/8/8JAA64+uwnf2y5XN44PDo5OfnlX/7lg4OjWJUnJw8Pj49o7B9hBirmTXhhT7SHAAZKBmiKgASITP3pahkBBBEQyUCcRtwUhgbT2hOa6+CcGQIY9DjU3pNWcw50AFBBRDTBa41iTPw2+n89xht7zDtepaK4z0jZwDX44MGD1157LWdNbfelL/7GL/+dX9km3WQ736Ztsm2nYjCvi22bywAEhl5HmDuIsSwCARICg5lZs9uUVfS8Q1EUOrQuNNFR4ERMxJz3YhTE3CVkCkSOLy9iLMvYNM1223AsAUBN9iWFZvYBGvRp38YMR0t/hIpfGd5hBN2f8BYPAOC3a0Mx4zXBBQAyYAIBAzXpbUEiItF8cbEuilDU1fmmefvuuzGGkumZWzfvnT781ld+e9s2q+PVFz72k5/7wp+uZrNd11bz2fPLg3vv3N01u7/6L/+Vz3/+8//13/mv3n7t22cnDz718U/8zM/8dFnF8/Pz777y3c9+9tM554Ga3vqH2iMM2cXXzNUbAQyUdG6XA4AIiwCoyR5Tu8+bT1SiAYBdd6Qee9jAMTw1W8cX195/kgQ/+vX+nswcGZxSWq/Xy+USF/C9V1978HBzcgHKYAGAuKqKLomIRCJmLPqUHwNAEWgxq4iwa3dMhACXl5ez2cz/um5yet3Udo7VVlXmmFLyWGEWccu7bduA0W9SsgBASSUP7UH9kcYR/OCCS0MTsnHVTgd6DHVBn7Yx6KuNbZrdHTXuOJrj9W0A6wB4Itmgh5+DmRVFUVfUNuns7PzmjeM/+MY3ReT++ebo5sHxzZvPfvj5JPneg/s//4u/8PVv/KHJrl5W88WsXpSxoLfe/j4C/Kv/6n//5376Z0Kk9Xp9cLB8/a3XTk9Pb9y6CRN+Puj/A+AAIjDABARsZG/iAXk8JhEBUc1QzbtjXxPcPkw7+k/TXMNU5Hrk85XWKU+Swkel9tH5Gr81qj0iiiFcXl6OWsOndbFYHCGdN5etgiJINoxcFKySmLjfEAgBVLPmrpOUFodL7xOIiNvt9ubNm5eXl4vFwhVT37NN1MliYPBzKDAAdF3nHE1O0Sfi5GnStyMPoa7rNkmvPQaTqHcS3q/gmqmbpB4KVBUDRRpC5H2V/HAambMrOPjIM+bmbDeTCojxhT+VDUXC5NUIoN6YpSzLruuapvF1/PDi3AAhFg/Xm5tP3WhypqI4u7x8eHGeVD77+c9+7nOfybkLgZ555vYv/7//n//ev/tvn57c/7O/9M/+lb/yV378x3/84cOHXdeVZfn88883TbNnduoPhCErAhyMWD0K63lDIzBSIENWp4GgQCF6/+XHHu85pI9Jjz9WWKcvrv1z+hOP/dFRat1sM7Oqqlx6qqryKnaPMGw7UIEYCoqROQKQZCsiMwKCMkIZQ1VGJlBJgbgIMRBHDiZKgF3bmup8NgvMItK2bdO1zrFQz2ce+erRCCIuDE6l79UriEiAHp1zgnXH5TAzodGwKX4gXoUxoe+De5XEYK9xzcZwLzM71ZmbPo/OnEcbpmgHInJCPZHeFGbmlLKPLwBsN83FZv3RH//xbduum6bruixSluXJyck777xTF8W//N/7S3du3PiVv/N3v/fStxb17BOf/9zP//QXPvGnPvruu29fnp8fHCwXi8Wrr76cUnKOyzDCJ2x8nNFcGMOo/SFgPCGlxD6z2gNDxnIKIkLTPmwyOLn9KA2aeKJZJwq118RP3PGnEjxOBw6h2XE6xhTDKLWOcr68uCiKwgVruVyWZXn/7j29XN+4efv++q1dAvGaahA08xQgqTlxkwfC3a1PKfmcOjLB24J3XefWgt+e70s9YQLxuNP2uWjr202mlMAslGWM0flJU9vVs4UMRb/+dE4A/k9FwTSopn1kG6Zpi/GXVKfJXl9VXnnsY2oTaHkILG1WFQMgxKGLEMRQpNw5wYmvXRHZbJt790+Wq0Neb24c3dys1yf37mvXnT311L0Ynn3mmb/8l/7FT3/sx7/4q/8oIH3i4x9/8cPPcaD1ep1zdqrk4+Pj0/Ozhw9PPvTh50eZGIWgx40SAZJ3xdNB/sC8B4WJ9CANNGRkvSq4ME3Gjm1VJq7ttXGDx+37j9XB1yR4HMnRBht/dzz2smvmbJkwoHCqqqrr+nLbABAipmxAEmMthm3bkopIYMKAyGhoikRqObW7blcdHByklOqiJIN2u+OidOUiIgRYhOj60u0BI/CaUGauylLNnM+lbdt+bMxA1fOmuUu5yGZmqjBkABgB8YMx2diV49qudO11ztmsN2pHc2qcg3G4/Z8BSZg7xL5wMoCTFvo5za6t6pK5cB0JoJvN5vbNW4vZvOSQczcrZu+88cYsxFe/8x3bbYIkMqCcnjq+AZq12a1m1eXlRYhU16WZ5NytDhZd1ywWi8dI7dTyfkLCVXVP+jmOAiL2FSJT8hToc16jQI/p9Mdq3Gu2xTXZffy8TE7Gqz89lV1FJKLFYvHgwQMAmM/nDheezWYHCi0Vy7OLdXueVAMiIQEABY4x1gUXKIzmblM2U1VHO7hJCgCXl5erauZqGIcmdsjkZSkxxqFZfF8z6wyNZQgpJefSTCl13VjuZe2uGXvOwbDMmPkHJCCY2CmP+lhGzqYaGIlBLQNqLBjUuq4B0BgjiHqjbgDwrnxd1926ddOdyhgjIvpfv48Y4/n5+Xw+DyH4KGRNRWSVAIZt16lAUc+6rmMKs9ksSVIz0Xx5eVnPZ12XL8/PP/3pT68vzj/y4Q+/+vIrJw/uY0qLGHW7++qXv7JdbyLjrCpXi+WN5XJ3fl6WMZRFXdVtu4sxbjabxWJxcvrg5uWtxWplowdp5tGxoogimZlUNWcBsILDtMSezMgMB5uByFuogbpCnu7jnkZGb8KL0/l41DnDIRkxHlNT4bHLbNyaRwVhQ7xplF1/OtcLbtGqqnOHBeKLXevdtMF5dgevoyrKnHMHUtWRCdwk1bYLITTb3btvv1MUxXw+r+dVSmmz2YYQ1uv1arU6TQ99li8uLnyKEamqKhu4ucqydKK72zduXmzWnswLw/5MhO7791I7jFHO+f06Z3v9Opm7vb07fdOH0t0yF303dPxN50mlCR/o1KgwMwNFRGJg6Ed8/yvQN2JHxDfeeFO79vjwsGua1Wz23K1bAWzz8OG7b755cXpCOR8uFs/cvnX7+GhWxNw1zJ5uVGJw8IDnsAEAcF98Pz7XFAk0fbSRy2yQNDNVU2W4ruSu7Ug/7EBfPcZ33uN8eJxRMZ5w7X5cBY5UASGEqqpmVcXMs6ouir6kyj8CtbIsU0qbzcbVIQX2SVytVm7julXqPDJt2zabLSJWVeW+oPt/biX6ySO2HUeIzxAlHBeqmXHYUx2PnuV7adwnHdfkddz4hrVO4yT5qgpDPMF/1Q2daYhuv4V5rQSHNk9agRIiYiRuk2t9VhUgFDW/Zpvg4cnpRz78QrvZzmIJIbSbdUQ6Xh3obDYvi6Ojg4PlMgSKMRaRYyBk9HAHAKAD1XN+1GX0G8s5a+4pRQjUwEyz9kSC5JX5qKYIQ5Txui+PE0n64Y/eoBrmbxrVeuzxqOG7n6DJOhzDYQbgkuS6I8ZYFeV8sw27djarihjbJmfNsYQiBEJwxQwgl5sdUTgqq6qcAUDkoQVdzsqMAyKi67oVUlVVPpXuT7dt64sBhsACMwfmPHg+BYekydxtAFA1E1UYoj3QA1/wA4TDkK7Y++NhE1dxHMcRUjPqLRjMwekOOFlJLsUWgvPdqiNOPAzs1RA2/FxOioizAl599ZXtbhMClVX0iEldVwQ2q4rZrCojO7dPWRYHByvPoRMRM/GYQVDVCXXy+BoBNHciSUScIMIZVHPuQBRVUI1UYPjrDQuu7eNw1QB9ksA9eujA53dN9b7HdR4rsjgQCNHkmP7TJ2U2m9V1HQOVRWQwUAET71VWFMV2u53NZovFomnkwelZlzWUhW+hjFQVpW+tMDTo87l0T9H327IsZ7OZv/ZZGJW6d2gbEQ7Tex6HwvFb42h8sKjCgArpe3b20Dgz8Tyog5oGfdFLxqCS+4fBq/hRnBgMZlZwELAOkotUWZY0ZC4Y2MystyQhFOHNe+fr9cXN55/DrKZsuWzbNiAQRHDirxg4hlAWoYgWmfqKgyAiABojY+9EGoxgyyEiRh7QUkMAAkM0MFUTB7kYohoAmXMhAICJ2Ujh80No2X4E+v3n8SbBVHB/oNEx3RLHfQwGhUJDZfXYvGnMZXqxQ1mWVRGQjANGoZRaACir2aaBJMpIFEAUNtsmxHIxn2PXOXcd9JVIpJp3u109n+WcvZJEoc9ElnW13TbjnYw3zMyUMxMxkRWFa1/XT9k5LiaWOiAh4vsW3GFGrsdlpiFYV7SM5D2jYcIgNp7p4zVVJyKiasTgBoZT05mZahYoYowp56IqA2GTOiI206yCoApw8vDBU0/fxKyzeV2XZdptD45WHDCUgYpYLuqqquKsMnZCGkRzC6HzCYuRc+4JxXrt642owIoiqIQMGQAYTQ0QFA1UMyiaqCES9c6rIRuAAo6IRJ+a99CU46BdW8kf7Hh0G7ymGpjZSJg5jbnTEBBxZPmcz6rlfFaXRSeoaJIzUiCi+Xy+Xq8TY13XhGHXtrTZHBwcQlJQVVBmLkPBzGK4Xq89OFDN5lVVdTkBgKd4yrIcUw8D9bfZkArAocnNqOZyzjapfzanjPkA/Lij4I4/OQruKIUDN28voG6Ml2XpaYgRcDMK7nhlACNAzSIgABRCQLSUteu6oih3l01FNRE1qWNmANLcBLQiwqtvvvbMM08dzBcUQwg4m1ehLgMCx8AxcBGLuirqaiQrJtPx9j0t6duQi6yIOODQvHOBqfMhahYzwyEe7hUy2Xo1FkJADkaFQt9A0oMr9oNMBReraxp3+oVBg/bW8pNEdnxxzeW9dp29mWvm1q3PEQAE4uVsfvPo+GC1avJlK8lLv3LOdVm20hoiBybilNLlZnd5uZkTgSljTwQTY6yqyjn2vEQqhJAH0HrXdYAoqlnEhs3NrWcc0s4EGIhzzipqhCm1XgowPpG3kAg/aOchABkCEd6U1BSAH0Fy0FDFYFfzSUNUQWYz5p7fQD3g7C6RTdLozuauqiiCZJEJ0VISTTnMZi4KzDyUAVNWsEAU5O6DnCRX8xkApNTeuXFHJZVVuVwsl8tlUZZEDIBiI3xgr5AicQiFqfa7vnf86wGvZj0yMamqZullJwsiquxt9KHbuhEy+BiZWU+J0JtVaNyT5UzbtqIPKiCOOTMCEEQGEAM2MhDTgfbK8PE16uO8Tk2F6af2SDLCP3LB9U85YF2VR6vlajY7O98EMHETsEvGYbE6jIzb9aVrH1F5cHp/8dQzkYKryV47mhCB5oSI0ZsbZAlFBAPJ5ozwPNi+DvTZq2Hou/SI949ACkQ21CeDh/zAAIBMskk20fE/p1xFYDDKCorEsQQOChRCkRUUCIiRPTsfvEVM13UxRiLousYkR6ZAwIghhJTyrF4URdnsuhBiXc/athPRrksAEELw8LVqZmZEDqFIA4Y1hFAUgRnb7WY+q9fry65rF4tFQEI1U2o7QwoI8Nabd82s3W5uHKwKtlkR6qKYFUVJoaAQMZJFy543bl1kmagqSwKuQ5HblDsBx62aAdC2S0l02+zaLDmrJDUBy6Ypo4GJohmaMSKgieZdu1uvL1O7trQz2WnemuwkNynvAJUYANQka+5MxERIgAAZgUmJdeo5EQZRcJJbAzJCQAQmYAIjNTS48teAAJlDEYsKKWSxtsspqyj0lKnYo9vMLJtmU3H+ScQupRDCbDbjGOq6tiyrWX28mB3MittHS86NplZSapqm7XKThctZMZtzDAB6dnkOZFwFQ1WQrOns7MFiUS1mRe6art00200YQK1dl+ezGailtkHTyMQIVRGrIjbbjWpmxi63m906STdfzsRcHpAxmKhmGdcbjcvuvQ53U3rmbvBWW+6RTQ0yDy+PkT/fAtAz2sMVEBGhD+uOjrybDaPqLUL0JKHDtANhWcb5rDIzVGEiRqI+zU8hhBgqEYsR7p2c5jYjYohUhFiVZV3EMhZFGcsQPWzcM1zTsKsaoLdKYZaUHZTU3wkhUSAi5jjAfXol3Qc6Bsd83N9VVTSpJNMMlhEEwQyyE3mbmSP0/Udd6WKPvu2jyJNdzpFKg9sAhIgjuQ5ejXD150w2wGkYAR5nqFzbLacqeTGbF4EXs4pELHXzsiwCxUAist5uN9sGAlWzOcfSAwX3T08MIZTFfLUkglu3bp2ePAhMZRmj0/1q1pTdyjIzkGxZQDQgeSB/CKZlV1UxRvV0AdOu2xHgyJKCthe59x8Ou+r++0UQ2QkdnCGmLyRStaGCcpRjX0MwVKe5xLtzABNQyLg1+Ouhup9UdbfbtW1rogbiJ+ekVVWfnp5vt9sYSwTmGHwIvG9ZL3k02DPWB+zGTdNtLL8ls56Vv++5xhwxMgY3sxARgMhoCODT8ESqllW1y0ksK5iCefBGwbx/uHonAFRDdZMEnkgb0A/1ozv+k45RHEfBHRfbo/I9lV27ml0rq0hER0dHIZKZLFdzb+FORF3Xbrdb78/l71RV9eD05Lsvv0qBU0p1XZdlGWLRdqmqqlEtukZzPeVZUufZdU3hyk4HHBUROVLH8xqIiLTnWh2H4n0LLjHjEIUdhwkmq9wGX81FwW9xRPf4Ipt6cr1NI31jme12m4YS0HGFiKTVwWKxWIQQ2qbZ7XZExDg0bgZExJzgwelZVVXj14criKCqZtUsmmxwK1XVA8MeViyKwmOafRjRjU61kXoNDRiYkSLxkPlz2UX/iv+WkwlMVRpMvJBR/vq3Ea6DEiYy+qiwjv8chfKHEdwn6WYbwn80IG/GGTw8XM1mM0Zy6GPb7ooyOIar2XVN0yTJYsgU5rPlycnJdtPEssAQEfHpp5/2afUCRMahc62BZ+BGGAMAiIj38CEil5ZRbEZt5XfusgsD29D7F1yinrtPwRQHwhq0AfzmE+Q7rE+hDkglmCQjxknFYZPaG/gTJ288zczqWXl4uIqRwZQIQ+AiRFOMsey6HAK89dY7SbTNYsgGqPue1OJdTWxYPzBGoAiZ0UeTiBgwcgjEIYQixiLEnLPmnoTNLYfQg/w49owfrtF776pJXVJR1Ml/JqC+QQqIkY0fmcl7KN2p2D0qxDixB66dee31NakdZXdMcOAA1htVaV1Wy+WSA6FpEdhEJGUnp+m6rm3bfn9XmS3mRzeO33r3HWbebDZtFjOr69oMh5IHHrdZM2uaxkXF8Wgez/E3/cq+lbki2wsuqu3zZ+LVeO9bcKcadxwyGxJgMERtcYiBu9VLQz36uML2sAQzdy0BIJbFGBzxMS1CiDGenT5s23Ze1U6bl1PKKbnUlGXZtSnG8t137p6eniHwuCAnPDGG2OvascgRBlOkKAMyqmb3ojhQGbkui7osITu5g5GRJ6CJaNIS2OENnjATs958vyY3MCjdYR0qwPW971Gpfay8Pqprp+9fE9zplnhNasdDBsrXUX144PLo4LAuypTSYjYvY9hu12ZG4OXKRhTMrOvydrtbLQ83m90bb71TlPV6vd5um8PDQw+xjVochwajTq0JA3OCq1XPnNnQNMoZccZdehSw3rD5wBoXDHsbznUuupUbzNPBzMiUVbIacxyFY5TFaY0DDG6Zp/t6K8eRn9BnDmnogN62rYEsZtW8KjV13W4b2Av1CIBiKHetvPX2uxxjl8SJdcyJ00ABFNGQDPWKxkVEZPKSuH5cELmPJgJ7HxNAGs1iNVP1WhS3z3oL3vrXOWd1fC32TVCgr/2UnlCpN3CH108+HtW4j8rxeEw9yFFMdcL8Pr75qPiOc+HaxBXhM0/dPjpYmaSD1cKJEURSlxrJnc+4AnY5b5smSS6r6t69e/P5vJrVAhar2pXluDbGbC0MXo0TQLlanc1miOhmyZg2GwsixvunMU1rH8Q543EI+ndgX75r1luxPqkc+8DttdEfwT4w0bi+W+3DEQ5gQFLV3HU3btxgJFCr63q5mrudVHDwzpIFu/KF09Mz4rhpdklFhmC17vNze36UURvhAJUiRkQjT9OrmPRBkl4gDHCSNPcHHI1Xf53UdOKwjnI2FZTh938wKcJkzPcSPH0xPeFJrtj0Hq49+/h3VGn+typjGcPNmzcPDg4QrK5rIiyKAGpdJyn1g5lVDEkVdrumy5k4Pnh4duP41uXF5uHDh44LgyGTOoZrXKd68HiUAQ/tu/g6EKe/vauSY2Z0FeL4mONRS7QfF6ZQFlVZl0XF3JdAmmJOOkQJCuQohimltm1hzDMNGbz1ej1qUO8R6VaOZ7BiKE3Rm20MrTc7VSFQZtztNpK6uizqqoiBttv1cjl3ZEbXdUVZv/bG6/dPT9oue4Q057zZbX1lByTNggbSpZzV2zWOD8jM7vOllJqmAdBmu+maXbPd5a5D68v9cpcOVwdPP/uc/6hXUJ2enuaki8WqaZoQCo4FhaiAWY1CDEU0hLKqY1FyDIagjiGjx/ab2cvidMKmcj/9O57gYPDxn6Msqqo77zbphOzZH/CGXIOxW5aliBCYF3vtNuvlYnbj8ODs9MHR4aqMheYMCkXBF+frsqjBaNc2q4Oj88uN/8rrr7++2WxeeOGFs4cXF5s1MHVdt91uHdboPk9RFLvdzn8957zZbDabjYMe1+v1dPkNnqKACjMOXj1FRjR5nylfG/bT/cj2cW1EBNjrGGb22n+v6B+DDDagOsY3+5PNPA2Ruz3Vjb8YrerD1arLPXFQVRUi5dn5hmPLIQKqGQbmlOyN19966uaN7bZBAMBYWEgsbdtaFuAQou0rEWAwARFTSkZoooxmJqntACDGst1tFrP5u++e1GUsy9lTd2783u9+9T/6j/727//Bd4+O4i/9+T/3Z//sP/uhFz7cdLu3X/3+4fFRLKuiqAJHACDs+68+NnYwDNr7OBCfyMI0aha7ajdfVfN7Xw0HL9mBhe5ixhiNkESKyEUZZ7NqPp9vdp2YehZzuSx3bRcDbdumnNW2sU4UKVAoJLW5S+td4yCyhw9PQwjz2bIoCrEup+zFOWXg8Ta0h0rCZrMJRfQ9FifmrA14j+GGbdwnP0h5OgAaGqDXYfXZzSKwqhqaYQ+gyQDOlQ6DbdB3QQvBf56ZfeI8BuwNNpwgZ3ICOpA858Q8m8dKUqeqdV0VgVVh23Yl9zYGhhBCePnVVz79yY8XIZQikgMERGQRy6ZMDlMaA/sAAEDmaS2R1HZNUZVEklPrlFO77XpeFlURqqo4PFr9v/6L//Jv/a3/XYzwCz/3GY78ta99DRH/4uqgnlchFN///hs/9fk/HYoCQwzezM8L+InVo0JXpYemud+rRz9t+zWG7w3WmTpn44HYG/pXrjls377jeRh7EqAIfrVZWR2uVkeHq+222XZdWQRucDafN11CxO12e3R0nHO+XK9NhChk7S4vL99+++0y8Hy5ODtzL7l/WNHMjEVRaMowAK1ExO3ay8vLZViNpuN0t+/rCcCJV0RFEJl/CCab68dg71+HSPeP7T+zx/jIaLDiBII0JiNceEIIDol3CwEGQ2VED6lqYFbVsiwPDg62261vdjEyZeuanaoQY846n89OT8/euXd3/sLz2aATDVnVwAxFDBVAlPa6FsY7L2d10zQXFxdEVJQVEZlianbHB6tXX/vurZt3ZnX5X/1//r9/+2//B7/0Sz//Ez/xEy+88MLzL3z4xo0bL7/+auoyYNe23ac++emqmimCKXKIhCiaTA3Ym8Gpg4j8r5kp4pOMhUftAfghNO5jrYgxfqyTwwv9HQoz6jm/vg0u1GJWrxbz07psJc9m1flmK5LKssyiklIWYQ7tbusiH8pCFO7euz+fz1/4UG9Kjffjqp2Zp7pMmr7CwKy3T0Z1C0M8KtueJVF6Eg+jDyK4Zti3LMUBiTuJwhiDOc82MauIeg0nDOEPH1+XYLi6c7kd5l6XW6XOt+X+u2YhwFldIlYIut2ql9gDxocXl54C6Lru8GDZbjbf/e53n751k5FQMkguiwINsqkixMLtJ4817NF083ndNM3Dhw9TSvPZIi/EDLuuO0NBMzD51re++Q/+wd//a3/tr33u0585Pj5uUhdifPXVV2eLuRmeX1585IWPrlZHDp1TBFL0mJGREZAZAigg9ajlPmsNT0J79cKHeykcFcV7C64rhYk/ekXLup/kDrsjh3jof4ZDBpuGI4RQl2URIiHOqrou4sPLdb08PDu/5KJYr7dlGatZrUOia7Vade3u4uJit2thqD4fX5hom3eOJXc5BoDdbldVlQPKRll3ndXnXzsxM0OdVPMrgH7A8vTpyh4NJma+FiIlIpFcF6UvqcGL3A/liMr1oETOGcFJMDvfwmzI7jRN4/woZkZEi8Wi67rt7mFVz+KOyVgta7Y2tcD0xptvv/3OXXoaw2oeUFInjk4MSQUzAAxggD15WQiBCHa7Tdd168vNer0OoUhNe3F++slPffzdd985Pz//1/71/0HOeblcnpycHBwfnZ2dHR/f3KUuxvDpT31WETgUTdcC4oAyGw14n0LfCnH8C6D2hNzZIK8TqR1CBU8SXJiEwOCqdTt69C6v7vUCQJgcPgWe105JWu4ik9eVVG2lRHVd33+47lWP6na7ZV7WMUjKm6atYihnNTFst9t37t1dlKXnbD38gogx9mgq3439xeiUN107ioG3GBiTeR6xGcM7/YbwfkV2Oih9E2IwQpQuDdT9ppO4saiOxXS+WWTpS7hyziH0PE4hBADqug7Rga0OeWBVddRBLDjldrveVFUVOaSUuqZttruCqKoKE2nbrqrKy8vLeVXnnL/3ve/N6nIxq4UspURoAakoLOfsQuvOGSIKmAK4HaIKu127uVhv1+v5bKmW7zx169d+7R+9+MJHP/Tcs5uLy83FeRmiNxF64YUXVaA2iTHO58u4mL/71lsQI/UpCnM+doeCEg/UE70wOZ/fe1Hevq9juilPjdrxTY/ZjSCBvg/XkNPyyfIXHDAOWcG6rg+WK6Rw/+JyNpvN51XbtkVRbNqWKKSUtGvLWKjqer2uqyKE0O125+fn1fHxfD4f0wow1EUiYozRw01lWXowZBpMMLPRDtVJTTIReZ9wVMBH2ur84MPDk1f2IGJAlL4dzz4061rNQ3RmllQwMDCJ+3OIeUgF69D4xMURABjJw6r+wHVd375926Nmq9Xq1q1bdV1XVXXjxo3N5broTWGs54tNA8BczObfffX1Byfnuza3SXa7drdtm6bpujzsoa6c+pSYGVq2WTlbzRcFU7PdXp6ft83WRL738su37tx+9fuvfOW3vvzN73z75Ozh2eXFbDX/8Ic/QkQUeLlcHh7d2DS7d9588+DomIhiCMH76qi5IY09Sx4SGhMQmrM48TVoLY6smA5pHGO9+6bHI+Pio53ARgGd2gn7T4c8iWXR1FPOwMSEUFWRlCwBADIFxhi5rsrVanF8fIiqVRlXy0W725ZFyCkTkaS8uVxXZeG8Nb6pumX44PSkaZp+bZiaqOTUNjuXB//dKhYjh81Y/zOMWw/N8Vbm7mNOhTs8CeQxfebpwUAGLH3SEsBVCBGE2KnkpOzoFFVQQ8P5fImBU9t0OWkjs9msns82m02SFIqg3usL1DQTIodQl1VWMc1MMTAGDgDW7DZ1dXR0cOj2cY/aJkLE1WKRshBgWdTbTTefz3YdqCmH+lf+4RcPD45/8sdf3HYdokUuzISo8g7XiDaiI8gMMWTtJGcmms+qs7Oz73z7rW2zmy8XL72ykU6I6BMf++TRjeOqrgXs7PJidXQYYimATRYMsV4VTeoCAllGYCYwtSzCgJEZe3vWDARMHP1gPSkpKQhMAVAIyDDkkxGQXBhBDZAATEzVmUtdTRI5ThTUiAYXR9RMDVVEuqbNOaMaIapI6jpTDaEnmQkxEjMSFVUZEMw0qpZlTJLn87Jpq5zz7eODt+4+qCPNq5i79vbxwXqzK4qwOj44vX9vNptVZUxNe5nagtnMvv/m/Rdf/DFJ3W6367pOc75xdECgXdssl0tazM8vLwBgVpUpEYa+VNhU+5ItEUAc8NwpSzIU9KRm5KIoPkDpDg7AGANyBAA4gNKQEMwQyTXFQBunquL8WYTZFE0VQSQXXJhZm1NEYGZQS11XhBiYhdk3tTEZ23XdwcFB13Xr9dqLnlVVJZkomlpfP4NioEBZtcsymy//0Ze+dLBa3L6xOnl4Wt657UgJ57j0pe2udr9fGzFS5FDFMCuLXJeAevrgPhAyR0Ssqur4xo35fFnUlYA1XRuRjNiIDUANiDCDsg0BC6ZIzn7ie4sAOCbACNBMEEgcizsBIU3Te9eqHTweAYOda55MmhhvY5xnr3esNw3JoO+007S5S2ORTI8SchwpKiKg9bZvjFwVRVXGqo6zuiyLUESuYmiyMgITmGYTO1gtRGS3283rMndps9nUdc0I7gMCQBGoU0Avl0riGB00QCbXHbvdjmIfJIUBBztatP0Y6BX74IM4Z2bWt2a4GsZ3PT6oc/ebe8KEMWkuAwebDfALEfE4hA+4K9Sh4CcPo8oXFxdHR0fM7OSYjm0YE4ZmCAjMzAZOkhdjJIZX3rn/1d//vZ/9wk8t63LXJWQqTYnA3N5yeVIFb+NLpMwxxlyVZa7nIkyR1bPZ0LStiTo2LKWUTVqTmUExr5FIwUQMgSBEZQAjEUUaexxoQAIEQAJFIEKVHs+u5rRkXpLjFh6M5E5q4+TZgOgbt3iczAiqUY9xvxK1FRHNQgZJteu6dtekpgXpm8qEENw3Yje3epA9sUGMsdQyZ513WRRystOH512STd1065374mOfezLI0tlAo5ZzXi4rM/P8LQ4IbBhYRD3ZkSSPlgMMwd0xYAdDRS0A9MrRAAAUQcCCPcEkeC+pHY5BQvfrHkf5hb7D+lRwYehPBMNG3yesvQvNkIkYMzruOnhe+8GDB07j47nZ0QsmQswAol7fgohEaKBlXZ6fnT596+BLv/v14+PVJz7+sfPNupNuWVeuwv3ixI4X67sJjnPpHRIRoGLSLF0SMigGHGMGa7smt2aRaVYWZGiomhCCMoZYkKJaGoSQlDj1rQnM+samCIBowE+y1frQz3VcAcC1f/YTYdfi9tZbHm276/E/Oae2S00vSWgQkCJxcCthjGkjAaiPQ2GFiMzSTBSy2Wq1Skbrpjtb7yS1aEhEkcNut5uVlXtadV0vl8uu646OjhDRHUFG8z3TDLMpq9Z1Xdf16dnD7Xbrr5P2EVIRGduEjQG1a4Jn9mTBHYXycaM5IDkmwS94wvmjHCOiM+sPeyKJKASIMUKStukCc1lWIn39zGw2G7nGnPv37OxstVotl8t79+5dXl469ZVv4qriLUasj6TEbdsslstdu4sMf/cffnl5tJpX5Qsfem632xVEjAAhMAL2RSJuS5oSEIGHNkMIEKN2ollDKOqqOjo4rMuKi2hgmNOuWYcmhl0BoCEUhEYB2y4ZMyMJmKhKtoABEVUUABQVwMgbNxiSwdiC5IrMDeM8/t2/30fQbNq7xL2yvr/W8Jb2VciiIjml3KXUtO2uyV0iIkYcwXcw5pUAxlwdIgbioijKUlPWpHp0uMoGl9ttwdS2LRKXMapmNFHLBn3pChN6iMb3TAAIochZvSHGuNkul8suJycvIyLQx/eH0iFyOJpSMKBt3t/R21JT1Tq8P346nYNrZ+LEIPNIuP9zfI0DNj6EMFQlkAcWvB+sv+ORyD6LAYagqGKaVRUJKBAAcBGBsJhHJfjlv/Mrm5wvt7v1duPFP13XdV0zVL/lnqhmAFpwdCR5sZwvfOXUdT06hWVZlkVU1dR27WbdbTeF2Yx5RnxztTos62VRrspqGWJlEEWjZkgdpI67zJ1Q1v6/ARt9LV9wbQyvvfPoaD96Wv++KBOBmmaRLnVN27at5oxO/xFjIOahRQUAeKR53BKJKBCXkasy1kVxeHi4XC4PFovDg2UZGEwJUFJyNG3TNE6Yt9vtXGrHaLEP4F4WVR3PdHh4uFgsAMCt3hEpOt6/7hHMVwz3D6JxpydYv0nBeEnrN7JhqwIPwQem6CsKEQmDqHjoQ7LmJMGTZH3eb185DQMm37202WzWtu16vfbKRxHxjgPWV03hACokJONIWUXMqsWcwvbktPvGt1/qds2Ld26WHDFwYep0tzEyYkREAzFvUBaLqFZVIBCIU0wJmZRQTA0hRg5F2GwMRViUuxyjzABBzVJXrFbW9Eh5DNypSM4gkC43fe3UgFlAREOgUOikbY4NxsA4Q9cnQgfO52HiyK6I7f6L6jkPtCy57VLb5ZxB1X0yL/roa9PHCC4zkCH2pSM8MOmGJDHG1XK+3uwOD5Ztzk3TnJyem+QQmBHFjACGlE6frgcAMZAsScyQyTt6px0AbDaby8vLxWq5XC69sx9M+GdxKD1yWQJAdWoBAHCmYv1Aztljj37cHxHc0av1f42vQ2BERENVpRCqqtLebO8zK24Z88AnMp/Pb968effu3cvLy/l8zsy+xAf+XURElb6fo5kR0fn5w7quu5QN+fAo/uZXX2p326eOfmaecpEy9PD2jGjM7EFTG6zkEKP22zSEWRWKmE0xMABIl1LTYpdDyrXBDHAJFA2hS5ZT2rx5cXGRc57Xs1lZsYh1GQCK7RoG+bCeBxqUiJYsiI8VXHvExr0+2o+YE9fP1B4L27deGzweV4EjKNarAVxcehTxpFUHEUXGwFgXRVmERV3J0dGDBw9OT89V0nJodOpqpSiKsizbtp3dvhMG6tjIwY1mVzdlWW42m/Pz86IqnUCkaZpO8pjFHJNkAJBVrz21v+gzwvCIjfXeMurErdCTGffhYgAAU2bmPjcFZuASBgBFUWRTnRDllmUJOblKTimltiurwvXLUMhFLrXO9eeWk18txrjdbjebjbeU95tRFQMDUM2py2mxWGybXVUViNh07dFR+Z3vvnl7dfD5T30qGxws5iEEkWSNHMdjNAlDvXFW1zcRANqYiWeGSAib3ToQzqvy/PQht90Bx7nCU9V89/DyG1/9Wrdtbt46fvPNN9u2lS4dHR15+klSF2NkDru2vVhffuITn/jeq69kleMbN+a3bt8/P5/fuMHckw+knL16uaoqN2Ggdw/ASUqyJLO+HgPcsFUDgMAsogB910QHQ+eUdhfr1HZd07S7XbtrQI1jj+PGAdGCRBw8HIY5e6kpUYiQEwAQWF/PE+zWzeMQQoyXH3r6Trfb3XtwnqVjZhUxs6oszSzlvFwuzayfF4AkuQylt41nZk+bb7fbBw8e3LlzxzXrydlDr3eA3swGx2qjq3MiB0CmlJLkDwKy+YGHDWA8MzPdN4QCGKnkDQZqJhygCMxsIbhJNOapXUBH7wGGOosRSQTTZdZjKvv+jB7vJECAPtxkgIrw21/9RhnLz3zm07DZAtOsikeHh04ubSQMpH3zcRMAARRGirHd7szsiFbbi0vdNJBlfXpWMeVt99qbd/O2sabBLj14eP7is0/dv/vu2w8e3Hvn3aZpCK1t2xBCFjPCxXL5//jNr9y4fefgxvFv/+qval0//bnPvfiZzxwfH7qaMTOvp9WrQH4YNAv1geC9FQhDVqkfhold6LvWWK/hw87MyE7UgOB1dDTYLnjFThs1biAsI5vlMoRZXeacbxwenBwsz8/PixCZAMzcoh3vmQd6WXe/AMAZmaqqOj8/X61Ws9nM9e5qtfJNYFRJHEJfNAEG0C9pV3mG4CTpP3rBhclGZh5H7PuSIMMI0e/DZAwEgN7UpCiKzXY9iuwYLLOBw3kUXDd5h58Qp5nzeQRCNIXR/vPYmBkiKyAQXTb6zVdeXxwePf/sM8A9hXzTpaJIABFiUm/24PcJYEzZbNs2AZDUmos1GNw6ODo4OMqb7f233zm9e78uypvHhxrx9Pze3Zcud+tLulzXMRZgqEBd1q594YWPvP7GGydvPjyq6zde+s7vnpxWs3rD4QHz8s5Ty3ldlqX3ZdCUU5YQAuoIbDBwNK5qiPs2W737ImpmPf31pEwazJzlpOu6puvSQGkfyyIM5QQ4OYxQEcA7jZq7/z19hA3YkqqMAHNfEpcXZycnJ5JaILcBcCzNnc1moSw6yQpoSGCoYipGkauquri48O7pIuJ7plsaY4QBBw5+CpxzLus5MjVNIwZETETyT9m85IcR3H4cCRGRcN9N0gbQp6qm1MUYAzMYjhIZ+pYBPZv5GEbxfXBUMKOU+wsyIABVYyQ0h196Xp8ACDksFvHt+w//wRe//N/9F/55AJjNZvcePDw6WLQpAyFQ9N3Wm/L5ZVNKBYdoePeNt156+157fr4M5Y358nCxnIUCtru33njz+99sqqqa1WW3XgdCUoshEgASCoMYfuVXf7WVfLHdzY8O7zz73As/9qc+8tEX/4t/+A9/+gs//eKLL1ZV4QOFiN4NRYfacbgairmGQxiDkgONlU6us8eCdV2nql4vXRQFx+g1rRgYmZDI9S4geh9M6omTe+yeR2QDYV1GAOi6uFrOb9+6cevegzfffYAMvhIcLuON0mGoC6rruorFSBMWmJbL5eXl5Xa7rWa1qnpqqSiK2WzW33BKPtdEhM4+OKC6YSjW+6MxFSbt6wdTwRc3Y9/JBlXBqyHNLIulJFx4mjHm3Hn+rNdAqiGEseybhjL3cfKISFW842ff+RWMERgRiMwIVMkYlZgKo3DZbQzoH37pK//8X/wLd++fPnX76PTsfDEr/caYGRABFQEJDRXTupmFEBXefeOdy3cflKI72V6Wu42+E4hndTkvikR2ub48efDu0XK17dLl+VlKaXN5YWab7WWX0vHtO7efevrDBwdPPf+8xfj8ix/99kvf/W/9d/7bP/azP1PfvLXeXMBAo2aPc7PGhxURM/HYApoR+P+gKmogmkWTZgGAtm3adtd1XZu6rEJ9UqHgGB1/N0otMCGh+RpAJEPfdJCImWNgQsipY2YE44yEVoZwtFo9defWg9PLrEagRSAQHtkEc86OUpjP50a8bbfZIMaIRfQo5wgIJqK2bZNKVVVFUZydnfmO6t5XURRJsklv5uacRfVHaeNec2xtUpo3vjVaUaP6HL/rsjgxAHo7yWXXs6yjlTZ6FTahUeo/9TCKKiGiKWMQVVRDADQk4ott++yHPnJ6/9033rn3xd/4yp/5+Z9u2gTSEfemiJl5r1Pnyz9eHci2wS6d3zt98zsvw7b90OFxSLK92B2vlvWMU7PbbC6RQVCQ6ZXX32i2m4cnJ0S4Wiw/+mMfOb5xo17Mm5Rb0E99/qee/aVfeuO3f/v3vvGNDz3/wk/9+T9/d712aJ/vmA6xnxqaV4YXfTwHPM4kcwYDq9WIFd/tdk3XNqkbx20PvQ08lVrHnLjGdZ969EloqANj5rKIKUsgKCMj4nw2u3Pr9hvvPDh9eOGOlLvUbvWNu66IMA9s74Q5i0j2iO/D87MY43w+32w2AlZVlQ9C23WjiVjGCuRqQsDx0z8qwZ0e45iO2hcm4zzqfDebRnn1UhwYHDJHWvgQuPEkA6MeT0ihORIyoNhA+WFMQ7LFm8Y4LYV/GIJo1yQN5Uza9fdeee3G4ar45E8eLqvdbkemTKCqDgUWQ8tysT0rjUxMNrsZhbqKcwioWpYzTLK73BgbRN6m9u7Jg7t3724u2htHh3ee+/DNm8eL5ezmzRsCtlapDpYf/9jHU2DoEq0OPvGnv/BjP/GT333l5dsvvNhID+TwOLyHULwGZBrg8X/2WdAhTOYO7miDSsrO+dC2DuPsUkpiikxOy06BfVmONLmAqIhAo1hcXzCu+Xq0E3Quatx1KaWj44OnnnpqvRlIsTjGGOuinJXVxaYPt6eUnFquLEszyyIedfRP3YQAAC7iaBOOhsc46S4w3qjDX7/vzNkThbX/69l4t0UQwEtc3Yfaq4dxHSfJIsIhIFFWAUIi8i3DdUcfJEoJhsDCgGHwhTG2TQyIPKpznwICwL4pk6NiFclWq/m7d99hxjt37qjhl3/rq1//1nfun17uOmmTdkl8+jV1mFtMCdp2VlbW5cvzCzQoQkiSxUDBMhoE2qXu5dde/c1//Hvf/Pbrm117586tF1544cU/9eJTzz5T1FVS7VSBKKktbtzIgL/2d//urWefm9+4+cXf+e3ljRvnFxfrzcUILXL5aJqm13m9ieVBTUQYuAio35F14HlARNA+yABquUu5S5L6YAINXTb67Y72kuoGnAdhRizaoMs9WYIuTH5vkcNiVs+qqow8r6rn7txZzmdORoHgvy5m1my2Ptdt27Zt63GMpmmcVr7rUpu6g4MDDHxxcZFNPcTrtvjw7D2m0XOoZqZ5X2h5JXM2fuE9RXRA4kIP8R+/i4AKEIgAuCfYQ9x2TSw8nJEChRADAKScq6I0sxhKKmgoeKVd01VlRAcjI/tjHB4enp6eLhaztsWua1QFTdBkMauB6GJ9udvt5vMlkRZFMDNR8GXaZSlLLMsoksCEYzAUaHYHNaZ2/aDdxKIUka989evbVr7wU59WzF2WmwdzlEyB6iK2uQUBa5rAbGZtTl1dEAIT1cuFqLx99+43v/2td1tYBvjIi089c/vWMpQHizmqkqSj+eLs/LxeLT7zU58X5pe+/W2cz37iYx976bvf/e7rr3/6cz8Vy6pLbSSnKGxdjHZdi4ENEYk9M6ECokmyGUgZgqpkU1Ppe/KoOkuOZsGslnLaNXmz06YFFRCNMRaxKEPs22EUMYQQywKG6kszYOzXOCICeY7Pg+KEjESkBppSEWMYgHuzqlTVRc0vPHun267X623KsjiaHR8ebjfboiguH5y6WS2WDbXpdh7LpxBDLHNqtk2LxLN6tmsa4lBVlZpVdV1W1eXlZUppVs67nNpdg4jI5OJrZvqjjSo4WbZXfysSgBjsSQVGDeHT0/vL0Be4+xlGmCQH9a44valHRB4rGR2XEMgsIlrWVISy4wwD7gwHtJ6AjQFZNyEAlMCKiNCpAoYYy7Jq2vZk3f6TP/zmiy++KMu6hWSpfe7O8cn9B1XE48MbCARKxFzMaqpLYcSymFezeyenb73++htv3DeAn3j64EMffn61WgWwCqwiWiwWSWR7cX58dHD7ztMXD8+wqhDx1o2b3/veyzvVL3zhC4q8Xq+x8iovGKqJ9jEEAKfXNgBFYOQJhmaIJ/hXBUC9rqHr2raVpnN1C2BeWUCTNjtTU62/AOCeJJ0GX8XIi9sREZCZdXRcEKGIoYihjGFWVzePV2fHRzml1Elw7koT0CFaNxg2RphVSKltUyeZKHA0yElMw1BlGEK/JzhH+Xa75Vj10qWWbc8m9qN3ztwJG39ARM3IEAxsTDmOgmuIZBCGfQsQYww88FOoYdt02+1WVbsuj5brgAjLXdcRFqN5MPo0RCQq49ZBk+Yzfoc5ZQLkGc/n89R1SfKvfelLf+6f+blbRwfJ4J37p7cPVyj5YtfEemmKcTm7+dzTanlzen6+WW/Xm29/7etpJ6uKPvyhZz/07HN1XYskFTlczNumOeseImI1q28e3SSgl7/3vY987GOIePfuXQb8yAsvbLfb208/e7q5DBa9+nmos+rvcHAIBBCQDMFYCQc2Lu4h3/u90eNeTdM0TdPtdj1XDSFzD2gekc18lWVsvwAGFB+4ujGgsT7TzJOdACAi3mezqio1OFgYIK0vm4vN9uJ87ebp+AgiyfHyoGaoImaKXdeYSVEUZNh1HQzhlK7rFLxij2JZGkJ7fk5PgjX+iOR2f5iZXYWJjO7/mEVjZpvke2ykCEdMKcEQhXYnbGwix8xOM+dni0hOGkJP7zrCz/tf6cHpe4cUerPJU26dJzLMrKqKIsRX3rx/9PU//KVf+LkGEM3Od91TN49OTk6K2DLFWNWLW8fe3uzdh6enb7/LzMc3l08dH9+5cTMadhcXIYRVXXXbrq4rZs6aReTtN9+ql8vbt55q24TIJycPP/b5z82Ojt4+Obm8vKxmVQdmtue3nK7/UZB9TaoB9Y2M9pJN7rKoSpe6UXC7to/mAsYYnRmVrx57ffs4we1/d9IlkwaeF0Q0xd7ZAuwSGtKNm0dH95e57ZzfjZlVOzADcc/YQT++CSIMKX0P2/sjV1U1EpS4h1qWZT1ftG0ak6Yh9jl5kfdLwfTkY9jg9k27h5kgFefgBzNABBIIzNI3BAMASGDMRAZgSBTEHKEoFSIiJskehgQAD7Bzj49hz2XTyP3bh3j31n2vn7wXnCkA5K5x786MeoaBrCltD1fVd156JbXdn/8zv5gzdHmz3XU3bt/cWSLLkNsi0Oz4IBKnZnfvzbd/7CMfCUkDQLfZFXW1qmYxBAKwQLv1TswObxzcun27mNedWgd6uV63gT79U5975/TkuCoXh6vL3XZeR+c/x0lsy4bMwl6YXI7JgRhmgwcGAxTQeRLG8l0RUTAm4hA4BjdtKYZ9vpdpL6Z45Rj7H/ajN3bQxSGLRCSg3pZaDcpSmi4tZvPj4+O2TcScB5ZmADO3GdFUhSg4+gKHljbeF80TJfV8tmsb7xqZRKBt52G+WCyIml3TtW1LfeORkBGyyo8sqjAd4lEf+FjohEl9qoBxsHrHE9SMi+g9S8YrO52eTg5/n4gcI9tXEfuEDVje0XKwq1TxvRuekpkQ9mFtAyrr+aaDV19/84tf/q1dks7CTuhilzKRMCY0DLw4OHzq2Weee/5Dh8dHhhCGWDoihhAKJgBoU4LAB0eHTZbvvPzK2/fuh1kV5nVjeXV8dNFsQz27f36+aTuIbANS7Jr04JXwyJWBHTNqvob7xFjTOsLYB2F85KmKfdTSffTn7PrbV0ggYahb8Su4s19VVYg8m1U3jg9vHB3P6wpBCQw0E1FP4A6oIn4hX2Y2ILD9WfJAqO8rh4g8ogdAs/nSCfNsUo2s+v6JnX/gMWoOHMwAAUvuCHvoEcxrJwF6DdLfvamq7na7LmdDymriuWKmWFSDk0fM0dG9bnhdU1S2z9X1C2Mcbj9t7lV/YaCV1p5i+uHD8+W8SgIvv/b6b331a0k5U/XgfN0mFTEAYmZkjlW5PDo8unVz27WCgFVMBOtme3p5vk0txiCIwrxR6QzifN4RvfrOO7/3zW/Mjo9pVj64OJNI86ODd08fHNy6IYzEkWPBseBQcCic59zjg7gXGofcDsleUVB1lvA8wMObpvGtVnqeIphKan+dIQrm0zOuFkcpjFI70vqOOngE7Pp04IC1jzFWdTGv6sPV6vDw8OjoyBEzQ4TOvDWB75QAygRIkCWpCTG6se0dJ7uuY2btE8WogE2Xdm3jACzPTWDgbL0W+xGbCqMM4aQEzUebiJD259CkL9oofF6j7QarZ9hHHhQE9qIaAGCknLNoLooi5zzA1XmwcSXnTHHf0m2qM3yAIgeOIauJiN9VURSXm+1iMd9uNn/47ZeqevGpT358VhepSSgYMrRGpjkWRT1b3Hjq9msPzy6abc55UZWxri3yRU5y2RX1bLZaPrw4v1ifLw5WcWsHt2584c/84g7sskvL2zdP1usY6cVP/GQHqoyhCAxDNqDPlwqMrO6TBQkAaAIqOIjwiPxy1dtzVQ2YO4BH9fh+HK5M3OSjaQjo2t/9d20o2gMqAauqI6LFrFrOa2ZummajGVQYMRAZoBqAKgMqAnPvl8cYDSClpABFUTRNE8vSct42u6KomNmhgjkpETkxV9I+0KuqYepu/1AC+oT3x0A3QM/6amYA5sIEAMxBAHLOJWBdx/Vm41sJkZdzExIxhRBos2uyymq1AiKOUUVy7g6Wq3feeWcxr8uyPDs5FRHGkJPO53MgvLy8dCZ+VXU1bM6ZB3uKyKziWTrPa/h6YeYsiogpS1GWXcrlbKYp/9bv/v561/xzf+HPnT88PZwVF9ZgnW4sDza71tru9nPP3b17d3d23nZbKxBD2VoCAC7iw91GdutQxOWzT924eXN+uNJArz64x3XNdWnSru7cLBaL1oSYgLxOMfimTo5DlF4qEXEsKHCBlpwDYhaVlHPOmmWoyWlySpIzevNyQHCGzBi8ptiZgfq9GMAA2O0oQrhqN9iErczPdD8ke9DSw2FEkRlSEk2p7Q4PDu6+e//4+Pjh6fmb77xd14vXXn9ju90uVktEu9isiZEQtrv14eEhA6rk7XZdVVVVzxFRnNSwcCBOVxRVCKHpOuYohmYQkAxQsvSJM44ofzTosOkRQwkTrD4MRGDXFEBvwBnknJEZmHzjK0JkRAB01l8AcnhyjNFzm0WsZDBCeuXtrR4H2MOI5uy1mioAZjMw75slCADY4ycd0BSIkeGNt+/+6q996Wc/85NxsUTQtpFL3M6KCACbLj374ovnJw8uz86bnJvtWiUVRTEP8+XNG/VqcXx8PD9YUAidpVZSY3Z8sJgdHS6Pb8R5nYEzGkaOoUQYcPcA0AcQgploT/l/XVHkgb/fofc+SqPGhYHRFb06OoQM+3G+pnHxakANrqpbGHdRt5gdLzaI9GCBQIzs/GKllfNZZTntNusyhsBONkx1Ufr9ImDOnd/ENK/sv6Jel8AkZmg29B/Q1LYjeZffv1sOP+rSnV7Xjn+90Wav1wmxp8LNqQzRbSZf04PnYQISIxtQ02U0swrLGFR1t2vqugohXF7uctaiKIgRwZg5dVmHJqwuuDygSGEw9WAoX/N4/kBHPcB20TxeBAAiEssqmJ1frr/6T/7gqIrhx1+8cXQMapebVsSqwFqWq8WiXC6PU8ummrPHNVer1WJ5KAQi8jA3ud3Gqji4eePWwQpjXBwdLI6OqIxNNhLhGMuismwE7KxDagSkBARAQ/WiC5aaT6eapDyatt2uaYaQrZu2DOj9YvcO2SC4NDQGGu3avdQS9h/5j4FnJIY4Lns22IaPYKjuIWYuy1KSRg6esFTValY+99xzu/aVrMm7eHedkhAA5C5xLIhBPEhN5g2U3ObhGKin5AEPZoiI5J58EgCQyIbg4B+txlWkruuQe7HmAe217+s+CVvaULU21kGg99EFyzmLaV3PEHqak5xzZJrNZkaTxEdfdqHMe250GYhFYoxd1/m2OACgjJzmqGfgC0WIHQAAOIIud/jV3/8DVPn4T/zk8dGBmV1sd1JXoapON5eMEOu6LCOY5JxDjFaXG1BVwMCxWlRFrGZlNZ9hGeerFcbQ5USIgWMoIse+1zhYLxZgXks5ZBIJ3Nwd4wmuaDWLV+Y0u92YUOxD3XClhxQM0I5RDT+arLlm9Y6GIw7Gb//vSfyfhvgMExFj2zTzeb3Z7B4+PCXEWzeOxPDevXsnD89yShwDE5UhGqhoJvM+YvsoNRElFQULPQxVvSTdNa6aFUNXERiYFnLOf7Qa1wBUhZD7xYxMHJnAFNVRc0a9LQweMTRAblMPknIy5zYnVZ3PZgDgnQ39MRiLGMtu4H4ch9srfb14HRHd0V4sFm4wMKJ7hgDACobkDGspSUcAQAgmqQMVZo7z2el68+2XXxPiT3zsYwfLhXr2H6g6ONDUAVhmQmNAUuYEWFaFmRoAlWG2XC4PFrPFPFZlFlGz1HbBkMoQmVDMJBMVRmDqsX0BAOm3KoBprNCy5JRzJyl7tWZq2tR1kvOIhRt8hn06xhCBqQ9QDEGGoe0VAuy7w46TiBNEpQcT3GK2Id8BAE5mQkJEJJJR7fjocLttzs/PZ7PZ8fHxycPzo6OjbZ8KSUQUi6Cq4kVsRKjZmdEQkWiU4MCsYu78KSCBEYByiIjovdCqqjKENqU/cht3764OOsMH1z02m0DGEBEIyEOtA62TmIGpqRZFsdltL87OzKwM0fcOnbSn9PIeZtasNlCd+u+6u+1dBpzmbIwP9cl0g6osewKVEHo8G4AChoLfOnm4Sd+CGD/60Y8cLOclc6NCimLGpkZYcPDOfRRjAghVNavq2aKuZ2UsSwzcQys5xlAGCiSgmgjUiKGcrHg39UzNxImhTHPOWTSpah7qGVLTbrfb3W6XUxr9fV/PY4TVQYOKIJMg7vVML8A1G3c6awDgQuzwsN6JHwzmqYsSYwCAB3fvNbvd8x9+4amnbpuZgyq9557/bjcQfzAzDLVYNmKgkd2aDCGoYcoKYEZ7Z3HMA3jp4h+5xuUhSWNDBxjgQEQ9hzpc4cUhQlUh3xrUVLtAHCiYqYcqc5KqqnyNOki+SQ0M0QyX4JRVRLiIIgLWQ+Oc664sy7bZGWFEIiJFNSHQLGZFEZJkU0AEzymTmqha5M7k3sXm6y99Z901P/aRFz70zNMoOQQioDHaymO0vyypjLEsHOFlZirAgIFioBA5IKBlRcSAJAgion3VBqgZmKmIagZRwD7mrjmPdTht26am2W23Dt4dxdG1rHOzjraBml4T2ekBMEnND0YCTUCCg1K+IujYx5XBCA0gIFXzxXq9/v73v18UxXPPPbdcLkVs23QK1qZ0cnJi6D5lIg7gYKrJ744eiN9VCEEULHW9/cMwAuHBC0AQoq+VH9WB1gPEfOvygXC6sjFApqrAfdbbQMxRNkaERmjORFE6kDzlpJmrmpnVdLvdmqgzyuSuBYBYFmVZXm4348OPL1S15rDuuoAcY/TUqIlWVdU2OxyySgBAxAB9IkdNwUhEkhozE7KhicJstbSU75883G63ALCYz4vA87pStKQiXZsRy8AcsIh1KCIQKfZw0lBEAhTTsqz8V5zHn5mBiZmT6sDo37enVGexNUMwVQBVczqnLCbimAQ/pqaqq1gaglyKYKZZJBTFoyI7Cu5Yjz0I7T5b3s8p4oBYoJ4tEtRthd5iQFqtDs7O1xcXZ0dHBzdvHHtUbl6XiMeXl5ebzcaJHTRL5KjDxQmGFvKI4OX/AASIRILgJCmBOVJIbWdmoYig1uU+7HiFV+Ha38cfhMPzXgnV6PgVGoI4febMrIfRICIaQJIuS1dWEURMRLMRMYLTyaqkPKuWRNTkDRpAFgpSl2Wj+vD8/Jk7T6nq+eX68PCQQrzcbJGoazMRVeWsr6wEzF1qqSk4mGiz3WgWjkFS15p6ZBcDcWQwAAocQXLqkjh6PZsyB0QUHasODRWZy2aX/+Cf/GG3aX7xZ3/64vyyLorUbg6XNRGodW0r1awEUCD03pFiSmBEgISeOHSnmP1dIkNLkmJREkDXZTArmAkxSWbAbrfr2jbnzrth5iad3D8hlWaz7XYNmMW6cohqzrmsKk+G9ZEjIiKKMRAjkhmIASIGz/8R0WAY97OJPZacYui7MJh5wxscimZAREU9IzuUC1Ao69h2+Tvf+Y6q/uwXvrBYLES16XY3bhzBycOD1eLm4cGDBw8ItArldrOr5nMCLkNlGXLbIaJqLjmIQrPdNVkMAWMxm82SSMrZc2ym1uYuIHERUkqb9cUVjfuDpfYHfdqfM5FrG8MoI1wDzABS05gZGrArN+ZIaMRN23VdQrCcc+nMFdj3faiL0t2yHp+AZAhF0Vd1y9C+EEazaaSyJ/Ki3zHbYr3fA4iITGzcxxmYaEK9Q4ht2wIgI8UYORbNbvPyy6+m3e5nPv/Z27eOF/Pl2cVpFen5Dz29W6/P15fLoghUqmaznnlShpgUICJ4gz5UUMtZDTkwOuEPoknOKpq61HZd2zJAGaLldHZ+ttvtTLTgcLG+1KHEBQbrKHiWeMQhBAYioJ6EEh6J4PqBQzwVcU8ZBkYAj+GfQx8p6ssIhkiju1xycnJy48aNW7duiQhDWMxmZpvZrDpYLNfzi/W6UlWCViSOV4NB4zKSIIkJERWMCVTc0gcjIsuiHrxTEzBUtamNu0+W/BBy+b6OcTEgovZ/vV13NOt7XlrP5YsAUtc1M7v72aNyVXNOkjMGbnPaNjv3td3IW6zmFIKjpJK3ViSiEGxAj7sKImYbKBNHN9EFdwAteGJ5z1rloYe6rogI1IioCBFMcte+e+/+r3/5N3/+Z//04XJ5dLBIaffa628fHa4QrWm6CshioQoiwlmc4DrnjESIRkgIXnegahCIJOeei0pVUu66RlKu62pzcbnZ7kSSI2p22+1uvckpRWJPaGNfQYlhYKaBvRtGRNRvj48YuHvRmYi1jsD0yVY6/QoPLU514BwhIjA9OT85OT/5zGc+c+vWjQcPHijgfD536qSU0mZzuWl2HJC32OUkZmQ69W16sy0LMysBqSWRnMXQFRD0ddseMzQnz+AwFdmpxn10gX4wydZHGvn2cYA6gqgNVeYejBTV1eGhDwdA8MmwIefpTbXNadhC8M1PRKZX3s/ZGMGZYP5FZOxSISLOS+LJz4wKVxewx4bIwIM+u6ZJnCJxPVtUVXGx2/3GV37nM5/6WFm/sFysGO37b7/7p37sxbZNRFSWpWYR4kyZiCKZSAKmGAIyMhCgd5y01HbmJfsAliW1Teo6U9mt82677naNWpacRWS3252fn8/qGiZNR/bj6SbfRGpdx3sZ32Ol9ppoEuFVb+3KMX5Xhka7iOhNvb///e+HED7ykb4pRu5yLNgXfNu2y+XysNkVRUDE9WbT9zsCMSM0GSNsRDSkhcTMRMEQzFMyPbhSVcFZ3YEpwFUL4UeucQFGDDtOEZ4O4naxGAPLSOSERTDpeeT5tq5tR0cEmZycBxF3u92YzhhFdvy96cRce0BPfPvXRqzgVHBVlRANxOkFxk/FsO3y4cFR127/3j/40i9sN5/93GcWdXV859m33j25eXhQcMht7kLnP8tIjGSmBACoRopkKoaKaioqAgaoZJBzl9oupwQi9x4+LIsQQ7i4XN979+52u2aiogwA4DvmPjc2KMLxGYeBnwzKEMFVHBXYRJsyQR8iHEmn92M4HUAaSjBGNdd07Wuvv3bn6Tu37ty6vLiMkVNKHEJZRjMr6nK2nB3lg7KMInKxLpNgDOyhk3GKRQQQVU0cJIiECNlUVAsKYAKAiiRm6mwtNGjcR/++X437pPOf9Gnu2XC92BrHE4aCVUXQLqWchQACkQ61rDjwTYRQGEDX9uwhU41iV+FpMNG+cg3oNDwUDii26WMSIscCCIERh5gXqrUpb7uUO+Gy+Ee/8dU3373/F/7Cnw+RFvW8yxLajrkBAO/q4zzkMZYmICgA2GFnXgLpKSLoy3JTSpI7TUlEbhwfnp2d3Xvw9v379y/OHjLzYj4vikJkD0dGr+QeSqGMkIcupDRkHEb0N10L4k7HZ59p8wrXfSkAXDUqYMyce+NElYcPH3Zd9/zzz8cYU0plWVazPQ19XdcHhytAK6tCRNp2t9l2XETTjGIxEBKJqWhWI4dqqqkqKZoqqELJaIp5pH02UjSCPw6NO3ly84HzULa3lTHnUFHw4mqNsTAzU0VQBVTLJiJEs7pGb8szm3VdIqKiLAFg12z861k1idBQj8l9Nw7sccc+c8w2qGfYx5v9F3qFiANZzvhCcx666gVET5PQ/Qenzz77bJOyNt23vvd6o/+/z3720x957ulYlmhJbJdE6h7o5d23mYhYjDADMRiZoYAZqnuc7W6bcwZUEMk5r9fppZdeev21V8xsOZ9VdWloOeeCCpdE82IIMwIgomzaQwsGLFhvaCGMlBN9upvQKf4R0bFjU0tCPZo8wdno8Nf/7bpZATy6fH5+/vQzzzz19NNt15V1RUSzGNq2DZEMwgJmXqzqaEZivP/gBICkSx3lMkZkbpKhWs7JkBAAnRoV1IACEnLIWUWMiIAIenMCH0Ps/MGiCk/SuNP3p2u3V58EZmbsrFWDGQpgIhwQAxO4PgZRFREcGNE8T2ZmOHAPimnOmQKDGrjuIURAIDQxj0DujY2rgmtmRH0fw1E/mRkRJOlLKgBAsqWcidjAZovl2+/e7VJbzefr9eYb333z3QcP/pmf/sLPffqTqCraGQIycYhILGoIHRAGYo4FofdkNUNo2xQi5aReXBUjEwGi/Mqv/L133nkLTZ555pkeZUE0W9Sk7NWk03GAsRRnol+ZGZnSsE29x+xMdqcnzjtORJkG4yqbbtvmwx/+8Gq16rrOi7EdXEtEMUbkvr24J96ZcbvdilosEDOXkQ05SwYVSQk4BIoJ1aQTNQpMXDBS2jP97836gNcMo9EUfYKATo3I6fGkuASNLbStb5sinvvuywNDoKBmkjMhjuRZDhMVkS41BfFiMZeUXX3GGOv5LKV0dnaGgZsuAYW263ZtImIFAlARK8vQJglECpTVck5lBDcoPKBmrthVu5zMLMbQNI2YjtU4OHQX7LpGNQ3hfQQgAwtFWSFgSymnWJRs+XLd/N2//+sP3333l37h5z/0oQ9dXJ5tmwvDqEBEuW1TKIoyRuuEKATuWwZ1OZ88vFCF48ODo+ODe+++88UvfvEf/+PfntVVUQTvc3FuOp/PobCu60hZQ4hD4pCIbOi54N2XRjyNC7Hr3WHD6avNENHTk/6pGrhnjOSJMnqMABN61MzMUk5qCoQ55+12++EPfzibAWKbk4DturaoK8mWc5aui5EPD1fMGIkLDt3NG5umBdPtrgELwMEQVouZwm7bdW2XgENdFSFrm1POTWtAvS2JZSxSSru2YeY/cqyCH1Ob6dr7qj2lvQ44KCJyM8qX9dgSwEWqbVsxCyEURcxebWfW6xVPm2Hvtapq8gxC71SZifAwKSPOAafHpK51ooeG7EnfNMBUdbvbiUiWrF5RDBGZkOW3/uC70qUvfOELzz//3Hwxu9g0683u8PAwR2O1phUiYo5Eycuq1OxDL3z4xo0b33np2/+3//T//rU/+P0yFk/fuQXgvZHdlnODx1TNE6N7g5X7LcIQHqsu8QnH+51BHOEKU6/O6Kmnnx0BTL1z7M1ZQHDguPDSNE2KiCmlsF5L1+acVdDAAmMMePv44OHlVtaXTW40B0KoYyCO6/V2Vi/mIey6ttlsBawqytli/kcuuFORdSFxAhBDBgABMxm4bxED9DUhDKCSxn4HSSXnVM1qZm66NmcpyxKZpctAQXLKakDM0cE3QojIwTtCEBJyADPkALZv+zZ1jfcyOplo8rCrmw1IQA6INRgQW2am/iy98QhMeLwov/G91777+ptf+MLn/9yf/Wdv3769223OdzvcQV3XMUJOorpbLBZ3bt5aHR22qfvGt7711f/sP//d3/2dl779Rj2Dj/+pjyJHRgtMRMHrZEYKQQfDeomYt7ka47UAPf3KSMLSP9pQQzZoYho9M/OgrfWvvXMgPH4J9LMJg7XgKvz200+V1azrOjMgJkDGvrUlmmEIiMgBAxkxcFEUhBYD5dSKSEoiBl58HIuKixgjn2+2l7u2yQmUwSxQD2VFk6KIHENK6fL87I9D447GA/bu6pWPdKAUcA+jt2JFxJQBgQm8MkmkV8bMLmMuPQB9of248Y2njdVEY7cc7L3DEbeuI7ajP0H3t4qIAEMIYvink9eL9G0jyMh6IiQBAFA7Pd/UsUqSv/Tl3/693//aCx/50Oc+97lPfvLjRSwUUTEsjw7Ksj47u/jVX//Kd195+eVXXnnltZdPzxMC1AFu3b61PDhcb3ar5Rx8wexb/xIYDQK8Z8nVPq3+mEMBrnhek2e5sp/gXiLfoyn21IAco8VlLMQwZyWiQViZiHDY3/tlDwBOQy+tmXTdASK2bcpikiGpiUJVVccHq7PN5u7J6cnp2Xq33TW7xfI4g5EBI5g54hQY/+hLdzweNERwXXYRAAxdEzuzjxCRmqFq8MiOiKgEjsQMYiJSDL37mFkBk3gvaxgZQKbKYCgp20/COGnvfbejMvbTvb2CXWXMMDO1HIgQ3OZDtOyVYgpQ1TMKhWnWdnex677+7Zf+4A9fMoBbt1aLxWJe1SK22Ww2m+1us22TQABmvnljgQSn99dv3b1/fHy8ms1EQQWMXf8RAJERGSQVUyQn7CYaAyCPPosOUK/xuBZb2Ff8EkKPd4E99OYx83jlcI1gSAoIFKh/bQjMFCh6YxgREQA2Q881VVXlseKqqna7Xdum1ImYdVk5FIq0XC3mdbWYl6enp+tt9+D8DENYzJZ1WTe7brfbMMXZsv5j0Lh7coNrqpeuMs24fxCYRFVUeCjcMzNCms1miOhoBOs7yZPbTCNSUyeNYvblwUN2LYRAA+51VAbjlExhDON9Ktj0nqeJJd86yBHpPQUwAJARbRoHr9UEkKVDTMxwvtndf3iRGjCAqoSqqAQpg9T1QiSdb7ZFoFBCUVaG3HSpCDETFIYIDEgApAo5KzBc07g//ExMHehRNnEgMx13mMcKro+hC/oICImx5D7wxkSoakTqWmMM9/qPuJtrFufzeSxCEcv5vG227Waz6bqshiHElHWXu7KMy/nszq3jhxfnZ5fNt1554517D+9evrNaraqqqqoq57xbb/54NK4nGmAsknMXByY42nFEsvXAeB6MhAJ5pAgZSQMQMat2OXc5ufIQ1awSCJHJELKKmDKx0zgAAIERoeY9cVqPe7H9/Qzqdv9a+4QzwMR+AABQJWYCBKQe44eIyBQK1Ax9f+ssChwiEZydN6tlOFgtVHW32zVtYuayrlNWilGzCFKIwYjFADns+zcN0cOUkpmUsxKnFuqe/WBv1+qgpcfxFzAD4/0DDs/vNX8Tl/RJ68CpMDxKqM6jRMgxFFwgsuslVGM2Is45h8DgKRFCxH5PIAImDZHLWOS66sq2LsqcsxEThS7lXds0XTYEhYPjo4PLJt165oVvfOd7r776atM0klMsihjCj5KC6UmHoaIBAPt4jjJqE4IZ8OTZILghMhO7kKVOQklFLNUxsgSGyoRAbG3bNF2SHDAgsJmoAARAYMS+vxpTJAYn6PQm1TnloR8EomYgtOzx4J7BtzcZ/SZH1uRBJ02nHNm7ghE4qT2oATa7bYwlImZJgcLhcplzOnt4spgXZni52Tq1VjkrzTDlrIxVUUknAKYAOUmz6wpCZ3ccg6uOwVfFal4h7ePN+Eii+/0eiGhDi9b3mkcz7xPh8GAcCUeYejoXM3AQReCc2uC5ud4uYSJkMERTy5CBCuYQCftAbwhhs2uqWTmT2Xq3bZomiyAxh1AtyoOjn/rMJ378ldde/cOvff309Gy1qlarVZiCVKYP8x4P8Nj36SrBx9SK9+85Gq5/CVCECGqiGQAIvAQNGDAUgQjAtOtEUg4c63oeyyq1nYfTVSEEztnaJhkCx1LNBMSQvbUeKHRtIiTJkDSzkgAgMjADsmEMkdUQmDlQJ1mROHCIcXt5WRQFEaJBUZVd00LOqRMiJmBUYgRzmhZQMJScvHrL9YyqmiIMMf9AhIjbTQOSqzjrw8sGwAyAOSsgFkXZdrnbpsClSjKzEIqcM9OikxxkbLYFzBgChUAGogpiWYzYyMzptgzU3aCeZMZTEL3ngMTAaAgDQyYi9jW/KmMyRgFVHI3Q173BlA4ngCGoKSDGob8pMXuLo6IubOhd1eWOAjZdQ2AeYUAzRAjIFmYYIoinI3OIXVHPRMRAjFFVUdOqqGbzkFLqctdlS1jOkh7O+PbNT/74C09/56Xvfvvb337rzXs/Mo072oh+jKLfl+qbPvoVGKFBkxe9q9FXRyDHQBhUwC08EVPDLJZS6iSLilFQ812Ve3PNTNX6Lr9DegwAtff8wQwVkYG0j8IZDEB4BSMYbGsEQwi4R77CoHiY2Uu6fb2ZIQD2/RnBVY27Ro7T9nYoaoaA/Sq9NnQI3qfNqbVEB7SnqgoIeBYQDXCAAaHBlZjeZPcfxn/89zX1jE/U0J7WJS/UfGSqEAH0EY3Wn20ABgT9VxEYsiBS/4mBDWE4ymwciCQQUwyO2ASAUBRqWSSPpBEph5ShM54rqhYppVUdjlbVR59/5uzsRxcOu+bC799/z/Mf+bR3sMBAVSNRURReCOkOmQ7S00n2mnXreXP2foOJjhOPcEXmZKAonU72+On4dzDI9uzH41YCgxz09Gf7EPWVcNJUbgysx2Q56+wkfQoATiHf/5waiIpkA2FA6GHKe5T31Lu6dkwHfzr+Y6ri2vFec4n25KDYdYmnIcRpYEB7ZhYKe/Du0CcRAGC3bcf79DXk1yQCNRZhVRXhEEJIIYhCm+sYRaQ1LetiVd28fXiw3W5/9IKLV9Pf8gRd+6RDRIh6ihAOfU+ElFIc2sQhYtJeJ6FxjwafCK5OOknBJErgcM7Qu4b7aMY1hTreCQ4emf9TVXWoPSYif6zp/Lq+Rxxi+jCcQF7+Mt7m3gEy0xiCgaBBYIas/uUpZHuwFtCu4mWnUnttu7s2L9OHsj7795727OOOYUIfub4+MmL9EO3hTb0/A4iIsSz2z9+/8oLtjBYBgEhHl5TIAgUiUuWCzdl6AoSIPzomm/d7PEnjWs8GAZ7QZ4pmmLN6gNV1VZdyFjMgBXGHDwY1NgruNLw1Dp+oBu8MDgCjCA4ii4g6MP3bALgZdgCffzMzDM6Dcd2a95C7PapxXUzGi1D/5j4gNfAEA4DbEWj7O59Gqfd8CBMd/KhoTv855nf2z/uEuO/7Pmywjcff7U0NAABkQuzb0446gmDfgNFXnA1+cCwLVWUjNTEzlsDRydE6UAOgWRG8wWqOSosfXRz32ljsFdj7HKJeaJAC9oW4rl+98Q4AdJKbth3PxIEm34dBRED3IghXNa6KlA6bnGzuo8SPt+0vxnpomBQP+2cwOKMuVaD7xxw1riIQgiHCXrNfz4AgQM5ZVRAAU0bJznfkWRWPEds+JDfSejxCjzCuz0fU8DTMB8OCmUr2Dz8vMNW4AzbChsWKI6nj5Csj97+/o0PFznDPMN7bkPUkBg8DCxEpiYLl1IJzomEwDUXAMOVP/qc8rt6QTT947PlP0ri9/Yf7gjMVyabkSUVC55goqjLEYJqn0imiIkKwB9TiwN9/ZS4nGheuWpyjNMMg00nFEALhXgIcqhuc8LT3tMZ4mT/VmGjdx1FcihWnPwcAkhMikoGaUp+sRkRTk6HKpc84wMRgncouDAgYGtCGNoCSzYyYpudPraMffm73KYn9jbti3Rv6/hTjoVl68wjdpeyPoijgusZVM+u6jnpWIwdGIzAqIDJ6g7R+ZXL8EfPjTvdcmMjuD8yyXjt8Yhl6PN4IZwFAYEIAcVJ8Ji5ikDyaWGZef6ie1HxUqdhV++HaCdduGwbx9czqFcke9r7+wa8WxY7WQn8+9jYuEKKiPU5iAgISqhihxRAKDr2jxuPdggp4WGwqedPX9oSDpvGEHxBVeK+j/0UYH9oPb5GmYIRk2LMuEIBmUwBDZEQDb8FkaJYFbQoIgeExQghmPHKXqTKRCFFOqSx77jBVjUXVtu17OWdP2k2etFinW+1ULHrc7VQFG8CYMxvkCftAOnZtUxRFWVZ1PQO1pmnQoCrrruskq5nFWChA07Q5S1lVm81m3O7B08jOVTpU+NhYiwJQlmXXdWSQJfNAnO0mga+QoiwG5S3z+bwoir7DI6GZeaVNGBA8e002uINokD2W22PKnO3Eo8iet0VElIFF3sxQxfNQIILcN1U0sxACkYlISoplhUMph4h4TnG0VaZy7O/ESONim9oS02kyFW8c4kqaJqA5mOw5YwodRjSfmRcj9Rf0BsjohJPeitEMlGMJqKQEqGo9J4E3cwYeqalNTWFEAyMS9XTcRAakFIqyBI8mUVE4sUuo4kG9/G/MOXvSEbgYO2J6Q3sXRCLKKt6WTvq44XvZajaYIjbY2de06TjNow8LV5fc1FWfftfPiUXf2d0moAvJGmNhiqp9y2xmdrLBrt25DUoTbzIgmYMnDYAxujcaKHrcHoHAPBoKV3Uq9N7kDx7PK0rkCajoH+boL3LFlB8Pf02IYEaIfWGo+5IATGSgATwZgjJ+Za9TJsnt8XC4mV8BHO4E6gkffA+a0fercX9UR4yxKPoQmKRsZgSoqrEsTMwL9MYJSPqYtJ8fU8G9FvxE3NuOrnFH02IUqeFMZxsAuiq4OjRzROttIZddpiDgk7Af2DYnAJCUwIwBbOjyzG4SowUCAkSMRQzehXkoW0CC/ar4wNgamIisDabOk3yPq+Qtj44nASD2VS0AAN5PTgcbDxEVFchf4uBnuEY3MyEwM8/b9JuGH8wRJlI3RA8BKSpmzWJgCEQBCZDCH1cFxA999EyD6PSgKRMRAIqIh0uS5GxqjqQ25cflq8djnJ5eHB+JJNjEYR+/MqqB0YDZX204HCjj9A4A4CT9IQTmALn/mpnJ0KBBRLwnjyF4lWNfOo4IgEQYiANTXcSiDAUTB2ICZg5OhH8V+b6X3fejccdn/wCzAhON6+4WeBb9kXDbOHr+LR9qov39g10PrYynTa3N3ngnRiQUdlvD4RRIxPz+Ne4f9UFECKxiki1njZEVUQwc0CneioDQ+mDKBwykj1KrEy6FUUZHg68378jJBrBvijDZtX14HeAjKWeQEApUc5bwPGDZAEDA2Pu/up7uo1rAkQJRDCHGWJVFWZZhqAYLIQQE5wEDAGclmirdH36OpjvJkIB4XyM37uMMBkPQpLdhRiO7x1VYn27Z524QwLMz3leFhpEc/jN3vpFsn8/w6/dpIzDHt/UYODT4Eye44PcqOq4/H5QhhQ+AqDg0mTJjAn7CdXDPjbV3X4h6HOMosjZYutpzieHeeGBiZp0EgRDRSe7LshQRJ3/1+sS2bbsucUhmKCBT2TKHSTB7V2lCYuYiFkzAKJG5iLEoQl0VdVkURcHstKEUiYkAeUK2bHvZvXJXTzimZ447z/s8el8QvAfB1fwz4j4UMGrcccyndbmqCmDXTJDpvU23vr3xJmaS0dvsgitdhfcQ3P+mDscNecRkHCBE7FLqcwoIiKDSZ32ZHi+303HDSSkZIcIAZtirisEqcL6qfbi0NxVsqrEGEnXwliFEVJblSJ7cNA1RAAa/iqq6US5ZopnfLhEVRVGVVWAMIIGpKEJZlrNBcEPY890S9WQ//lzTff+HV7pTO6EXkff+Qh+e3o/tYGpjTxDau8deHsI4cbbU1MAC0FWpNTNUNZpkHPunUADA0eSYmG3ouFIC9eK/Qfr/WEp33vvQIaTdR/8AxCMkZi5DgP02PYWQj3v1e1x5lEpFIL8aIpkRs4qOwYT92nCv1gzAgzuIhsEbAmsemP5Bhwkf2t0IoiBSUUAIIYQI1oipqSVJvb4nJKJ2JwQSAACJicrAZREKJgKKhEURqjKWsShDjIGZkMjjbsiOKB+KbvrnnuLGgR71pfbjYMPf9xTViSA7IWM/iL377zkOBPQeCGYDZ/vwdRhyLZPxv3J9E2f+UnzMmrFJXO+KLWcawHlrXYOo+GQZPrHP2ZN2nyeJy5NgjY9LjgEA7PdfBECnV0FiykN8F4lADVXRgAwcXQre00KEKDiziaooAHnJ1HhvasTkDdtxcMss5+QdDchCIDNvr64ppdlspgNpPyjuNk2gqNkIYFbEzaYBBCJUcWVvKaWmbRGRMRCDKaaUHQC5mFWSbdPsQBQpKJhkRbQYmd3MFZ0tiqPlgtACE+RUFnFRVWVVROYYsCyoKgIjRYRAFIiIKDCGEJiQkE0xZ2VWRA7B0bdMGMB6EpvR+AYAogAGaAjOEglohqpeloRA7FrUJ0/MAjNaTwIJ7h5RAKak3ikHnG/GxmyakrngeqCWyPfAHsNg4lY1ohHt4fajfeshG785GCxe8L8EZFTGmHKrquDNUhHAy90eK4V/zId7CkOjlWFfHmiP2MBbLQ6Zs304zAwQBi5vACCkwWtjT0CM2bI+aWQiiRkDUjLx3t4BDQBS2yRRAiAKTAGQAhIAtLstE0g2kY5DFZl32uWelAkFFIQMxYyUMgOGEJCMmdkUHIqjQICmWVSNqAhURC4iB4DIFAoqq6Iuq6IIgTkEKgIRUcHEzJ7sCOxcqc6I6vqVhl37eqJhfN2rL++X5nlXB2g5bdPE0hhIlsx7+YF5GWhv8PeooGGmAPqEiSKAESEOyOPJDYBTA/jWKTB6FLh3Xa79HaN+UyMewZpkmpNO24EBfBBCkD9qp623dczAwNMrPVQKMUAP11JV91eyCmO/g9OwihEVAVLyvk++U/dNuRBRcxc5AgbMplkYITAyWFkETIIGLlVA6GRmaLCYzXZtSpKd53TbtillQPIKlp5Y1xRECbGQyusGQghAYWweGItCuzZyWM1ny9m8LEs2KyKWgcsilmWMMfaCGzmEEAmJKPacjDAK7rTR0qMu2tRGnE6Z9soWHGihajgJp8AEaYCISDR26sPRP/DT/IIIACNDUa8ppnsr9c17fQYVRPuyNwDJecyj4iSNnLpu6pkh9q1TTE2BFMCtExH1NfYnQuOOB1pvq1tfkGBDkhsAgGMAhKwqphHZEEw8E0UGoKiMiAqEAU1tKO7DgQse1AAFTQMARwbNrQkaEBObIgIyEIVZVcxmMwc4m8k2WjWbhe3GkOv54nK9zTmrAfYNR9zqNTAjUwVocxqdPBsMPwSdV7PGZDavVgeL5WpeVyWJlJEDQwjkHOu9yAYKNAir90QhdxkHMtbHSec1jftYIe71K/YRqEcdeephk31HBr+CJ3FwIphjm4/egO43dyUj3x0NVLP08TGb8gdoCHtUnQyt0MclNO4V+ydSZzLuNbFn2v8kalwPNrmi9ZQ2jPvUIw4ZIpoOCO0hjO3LtShLNFDLZmCq1jMz6eFiUZQhhrIrig2RiJRl6XUWjqepqrIsCxzCMYEX3v6kni+pKM8eXvTUY8ijl+HBLs/Adl0XQuibHBGZqGn2mEBAqopyOV/UZVnFwIGKyDGGwFgURYxccAghBG9wTNP4xl7r9S0eroopTYo1rgvrhAfMJlmYqcTwsL7HPqz+g710qun1ZTLEs0F43O5NzMgZswDVcu5RYXqF+KLtumHQhvA5IAyQCdFelMev0IQ4wiYp+h+Z4D7JmfsA1/fWAG7Uj7+IiLmv9RsURm+ZESKyeViihyMF7CXGzBAtMofC46O0nNUEWhRRCiJLbdtGpjLQarX0wWJmANOhyGJWRAErYzxaHexS3m53OSmVUXTw+RD2UTeAnAUG7KKZqGUAYLDUtaC5KsK8LssiVGWMCDGG+azyrvAhhIBE7HUuSsQT9O0e0utO6qMwxVFLPfb9Rydob0eO6m3wffZfHEJXrlkfI74AJtlASElRLEOvcc1EE45ImongepOE6d36dZzoe3pjMAnu0oBoM7MYY1mWf7JMBQBAG3uceLqlXyfOWjNMHokp9rjbaZJwoDlASF0XCMsylGWsq7IoyxhjYETpuk5MsqNeJXVowAQI6rzcjr0yQ+bCG6NKtjgrF/N6c3LWbHeqCgLa12WhgvIwowggYATkaCgHlDBgYCKxGIvFrJ7XdRmgLkNkCoyzsvByc2b2LmVkAOjMJsjExN62sBfZnoxxGmweJvWxuoOGKA1M1C2M25fuKSMI0cwDlNIX2vQnqqNjHsu5YCIeBzcQE9hzFIpHrq6k+gCgLspRp3qLgBGe5s8TQxxXpjdrggGCYz327U+k4PLjaE9lwO07TcbQAQyIhuIvj9gaEhqDoVlkqqtiPq9Xi3lZRhoIYObz2RYhcghFlLbNXRuZikgloyEwEjKaqBEUgYoiCqEEgBA9VdZ1nZppzobkhZcIKACAOlCe9DLkT0EGiBYQyxjqMh7M57M6FmZF4CIyoxkImH+tB8oyooeV+3wz9U17aHI8VrVOR2yqg/3N6fKG/aZ1ZZyBzPS687ff+qAvphv/AgDoPkd4RUbtam56EFzvFTfe2FjKEIauQeOTIqJ5IB+BgA01d2KYAMjw/WfOHrusP8BxbdSsb6IoPHl72hA5xjgSIvGgF8HANFdFWYSQ2qbd7jrTg/n8YDE/PnqawZrdtmt2MfQ148u6RIOD5aLZ7UBluZhtt2tTQdMiMhItF4umbcFsvlikrtvudjeObm6bZrY8Orhx/Lv/5A/UdLlYtWYG1LcuQ3X2aY/khRAVLIYgrahIJPZ6obPzy1svPH3n9s0yIqZ8fHSwuTyvyrIoIiJ6sNbjBo5h8AIkV8bjRMLAjOZRcHfp/B0DGPWxDUHAMeXGXj/nlvcQt9EsHXZ9itk8wAree8t6kisAj3x7AggB1BR7q9ezm5I6fBzqcppRnx46cI/ueXyHY2wwSEP7RFWlWBghCgpKEanTDjLgnzx02MBHMEjt2Kqyy6lvtiPiZSGum1ezut016/U5AR4u5jeOD28eHM3qklTMtIokqYuBObLXJMZARPT/p+6/423JjvpQvKpW6LDD2SfeNHfCnRlN0iiMAiAJBbIAGTDB+MfDCfADbP+wMQbDCx+ebbCNDeaZLDIIgbGwwBIK8ABJIJRzHGk0+c4N5560Y3evtareH6u7T59wr0ZC0uitz3z27LtP797dvWrVqvCtb7nYMTQERSSI1qgsSxBRKUysBgDCoBQuDfs20UBZ3kuNMUVRSE1GFNUrNm0JiYQZDgJnEYgBBRQgM/cTOnf99SfWVxOF4st+nloSoyjmw+jAQETURh0VXEQkwCi4iK2U11q0PeyAbj6ia/DgntaKGkBcLXX9aft5tOBjz44Dx3OM1LJcJQWNB6ELACACaWqISJFRGgl1g7Rn71hpVGRi1Y7SCEIeAwghkJAoNKhQewAF1trPO8GFjsi2r9BgZyO0XBMZYwhQvJvsbCmCfpatjpY3VpZHg75VGoQ1UAjOonFKQggKQWvlnAOwGinRBgCAfGo0AORJ2kszpZGIWMcCB0ealpaWBJWx0OvnqHAymUCcJMIYWewafgTIIowCQN08okLi4CDwqZMbeZpkRiErhNDPk+B9mmTQRAa6+z4paE3Y7l+trltpQ9MHrpXa7vFd25cPQLX2R7z6usaYBRoWNQGGEOrWKyI+imDwcFBA25gKSs1WwXXKKNoVCNC0sd5fPBSbACBpQABSUBf2oDJaqQgQZ0SFBCKIgIyAMb0X1TApANCfh4LbeR4H3sRwlQCm1lptSMA5F3yp2G+srJw9c2ZtZcVoDc6xd8DBJAkx2MQq5KLwiijRJlQOAsclCwBEENn/tNYCIU37ABBCsFZXFTBzkhhBxaKSJNmdLyazuTKqFtlGoRAo1WwMhBhD7W3hK5KQIDuvCU6sredW5akyaF05H/TzsiyNSZpKgYPxS9yvjuxq3Eg0EQW3btDSjK5dW2s43GfFu4aN12rKSLYehKHxnw4diXiY0wSjxNcZ3vrXBQG5uQxCqpl4EEHVXMUQu70pQY6vEgAJERQDoBCLACMzoFaHbi1q8c87wYV9MMP+oGYfTIxNjPGLcjKZKqJeZm6/87alYb68NLJa+8oBBpOaLOmhgNMAAEYDApMirdAYRRSDpRoAvFdlWU6n00j6E0n1iGqPQaKrq41nUUZtb29XHpJcO8TAHFnOKW6k0fIG9HVfIRSO4Cg0pDRiWVYnNkbLoyGxT1NKDVUKer3MGoVg4NjdHPc1bldwFZJSKtKsHGqSdY3niZGVUQ7bCXDIBkXgUGdoW8GtKZpb945rRxmbnFwdigVo63yjWV3z78aOs017FdIWAJCRkRGIEeKr0go1EigWFI6MDMAYIo1v6/zFZIT3/vNOcAXh8DKPlJ0glrRCLBfFfG8izKdOnT53w+n11VyhV4QKOEmMyoxGTSBWa28whKAJxAfHwXuviJKYYLBWRELQVVUtFotWtUS3IGqy2vXRGgSstZc2LwYAUCRCLBg7mwp4koiyRoqyW/NHiabYFhgVEQvcdOONWZZxNdeEGgmMEmalSJGKpQRwUHy5oWPoWq4AoOtUmiBiFFwAaJ2zQwZupLaDVg0DtEZnu+lDV+OysNQIg/aZxMvgyI/LIge/Sw1WONod1Gj6BuSgutYLACll4o8hYGBApCCASKh0vC2SCEYDRhEgDtAg1BEbkODngmb0UxpRao/i3rDpfrpwDj0vDYcn1zduuuHGUxvLbnFFIRqlY2E3ArPjEFxitNEQq/WJ8tls5jjkeW5sqrW11jCztTYEWSwWiJjnefytLMsAIITQ6+Vaa8esSPUH+c7OjkIIIQjqFmEYZwNlHx9dywcIEcVaK6s0Atx+65Mym4gSgkoptCb1rspsEmTff2q0pwIAz/tBa0K9bypoUkpFfRxZYSDaUbHXZBNnqAVXUWgQCPHxxujHgWfeSCEJMEgIvM+n3YThooUgEhFeTb0nIjclcYAEjVUidY9KxQiI6oCtImRsIhKb70W+V8a6QpgEEJCYgwACM0sskeRQI9mRkAQVIKAyn1+CCwCC1GRomJpEPwFoVCGUXLlBnj/p3PW33XprL0vL2biX2dRYrTWKeO+BJcuMtb0QggABooGQchogKBeGw0FRuqjBiUBr1etlg36OiL0sFw4oFKlunECWpjZJposFapPm/dmiRAIfmJXUIDxg2t9JFWOkjVQI3Ey5NHU3sLGxgShIgKGWOVeVZHSouO3HRvUrCULStJk+JLiArGLsE1FrDYggQkpBCKoZXcHlIK3GhY7GverzF+Emedmm0RGR6uqNSEwZlSa1lmxj2NQtAQGjcQ1tXSrGgkrCWIkT6lBi7C4atWmMJ4UuMsF7LwSRSy4yGqOiz8tiSSHHooz23mtFSWKKxUy8WxmNQllsjWdnTwyf9fSnjIYDFfaMuHyg0sQS1CHDJDEAUJOrGUPK2jStXOkqv2yXvQ9VVQ0HWVEUWZoZY4wx0ymjhMQmWWKybKC19t4ZpUfLy1mWASHn2F9e2xlPHnr4vM0zRlsFEAAlQcX+7Mgi6AEBDRC44GJfE2BKU5MojewGKZ45dRKlUkioNaIwc7/fJ6Iks4BKEbHUtVeqCb7WGp1IgCO7ujYmAnQjf7JGqmu/ETTa0OkaW6ejouhA3eJBRFqEYVwJbdw3VnR6740xsddkbHjWhlq57p5MACCmVp8KWSgKVZROFfeL+gLiZgQ1rpIQQdB7H3sl1gSWIjU51j6ar15jhGIsVRwYwvJotLl1JRkuuyrM54vl9IkjvbvayLKsqMoYkJqOi9Gwn2u9t7u1mFY3nl56yp13rC71DPKgn/Z7tqoqq3VE/7U6qfU0YqjIehtnpaoqY7Q1xlidJIlzjkAvDfr+5AmttVHKKJ3YBGyiiIzWwswCRida26qaugCghBUiAiqEELFmwsgiSmJLXpC6o7NSAOyKMs2xnC9WV1c1AYkiEEIwJESgFCIRQ0xUIzWsJd0MJ3be1z5l1KdN++naxgWAgwW30BgesZ3IsUMO8olAG1OD1uHaPxXpji2Lav+NRI7CaONCnaoHQEV0DCah7qCwbyXXjL8xJtG6dnVENMrDoix2dsf93nDzypUzZ66bz0vvP3MUTJ+pQQISmJRKtGFmVxWTeZhNqxtOLj317rtuvvEG9qVUVexjYUgBSKxob/MubeIxhjmlyclVVVVVVYy+aq2n0ykoynu9qB6yLGvRAnFnNNZqa0rBJEnm83kINX8LkQIi8f5AuiG+iaYtglYagl/M58NeNptXT3vKWaVU7HlEiBqRFNfFZAJRsUHr7jQ+VhTcNlIbLdjIFUkNvLiVOWlam18t73Ds6HqlXRew1nutbdpcFXSATQBQW8MHyU+hgcLET7BjqMTURl0WUR/cPLz2YpHrBYPAQIvZIuv3nPOl973h8MKlzbue9SyoPt+iCsjBV5pAvEuyROXZ1qVNArj+1OoXfcEz15eHGkklaW841ITI0u/3vXfUSSFCx0duJ0Nrzcxa6yRJhLnxYTQRJUkCgZ1zvV4PoAYMxK+kaZpkqZ8XSZJMp9N4wloV7Dvj+3SI8TWWC0TRdwJKKQ9w5syZ2lwFIRRscAiIiAKtqMXR/lOahm3YpPXJ6NaEPSq1dASti4jh6nXo3QfVfUVsm5Ttn6prKO+/1gJ24GzdVzzItBIJWmpTOXZi3ad0aTBLB6+33x9UnhfzMk3T4dLyudvO7Jy/9NM//dOfX4JbY01QMQJX3rkFyBxc7QAAeulJREFUAdx4duP5z/milWFfYRAOw8FwbXnkq8K5ctDre65Tke1Tbl+lE7BUSkWekcgAqbXOe73W2vPeOw5aa2NsjPATkVY6Hp8kyWQyQQStdWCMRtnVqhNrr41ZK7BWI4oC2NhYY2SCTiFrrOmJsU/Clvg2yjc0RZH1n6JYqzpUF1n843+NvhcV+0sKxObo+5fyyUYrYfViIAX7NmtUq/u7QYjroktbDU0PrgaLE18bgTykjBlRi/gI0ofGdOhqXGwuHIEEabYoUenh0ioirt947o2vfe23fuvf/XxM+QozouRpUs6mi1lxen35GU99ypkT66Eq+3meGZVYTcDW2tSaNE0rX7VrHTria62ti3w6m12c+JYMoeaYMQYR9/b2or0Rj9daW2OV0dpz1Lgike0eoIu0AkCoicilpiMHhSKBUavImbeynK+urooIYEy819ziiEoAoorurrrWToj/bHeSOsHbdJE+tDKPftJc5/Hye2hf2rc9jpb7185ZnRrr/oQ0ZWXtNbRRi27Wrat0laKOhbBvLRwybOoyREAi6wWuv+EcZNk//Dt/5/f/4FW33Hj2Yw8+8nknuMFViTHgnQS3MsiefPttN153nXg37OdLvSyxsSxHjCJjbH23iloyzfY8yhpkpsZFixIc5VIJx3liBNQq4hZYxBiDAN57JDJpkiYpamWD1DZunboHJCSkKKfQsLa0GooEtNaVLyGwUmo2m9189szy8hLGlmh1ARwC1p5+7IoDB5pAUoQFx90gmjTx4o2xB2JbsSIrJlzrnqkgXMeyAFtms6sObBIW7fLoWttR19aWQDdLEoUbEQG4AZEd3e46BlXXhIgGbqdHE3bULNQZEwEQRAZyPtzxzC949OP3vfBLXjQdT85ef+rRCxdvvfmmzy/BjWhWo2g63kXmJ912y223nlvqZ5ogt1rYo1A/z3XkWRbxHFAr3disqumE2vrLtUODGGkVASBSysV5ijKdaOOcM8bkeW60jjAoa61qLGOtdVVVXLt9VAO6atqbaOrVdm1cOJqUb0L0i0VYWlrq9/viS8LokGlCiKyyjLJfqnQoGtAB+O2HrtR+hSI0otBWwHZHx22/qsaFjuB2fa/OfOz/0IG/HgwMQ0fXdgW3q4Bbrdy8ieutbnB04KYaKRZAALrjGc9+zf/4o+/5nu8tyyLLBzvb49HyysWLlz7rghsji3BwRR66k/Ypo4AlzIzeceGGUxvPfuY9eWIsYZbYPNGaQGsdqSWwidkrTaiIlBKsux8KgABoa7pbqlE2TlIIAQkjj49JLAAEFtQqyTNGCMy6MRjq82iNsVk9gvde6SyEIIQk0hpwWNPX1VXoi8XCaC1caasF4NSpEz5U4itjapdQAnMIiLHR4P7uD3HzFRAWUhg1ISAhKa11bK8ZQghtNAMg9kCLegwbQwcaIxUAsOM7HpX49ncjVMMYIyKCB4hzuN4N9nUwNPYuRN6GzpmbkM6htD12ZR4Ra0g+YJIkWpnKu9l8AQCDwUCZZLFYeO/7/f65O5/yU//+P/7UT//0bLo4eWrjyuZ2kqSkjMATx6tAB7sDQL36RSPsbG/lGm970rnRcJga7OepUWR1JHdB6lQLMoK2+8j5dhqgQSV3lzt1mpG0Kg2gLs+Mo2VCj+LODf+I9742ZJtL7bod+0PQGAMSrNY1ozVADLQF32kxg9CQaFHsotT+Ih4ZXXUoIqEjiN1Hd+xDbr/VfTjtm65xVV9AbMQWb0WOu8Gjd9zRrF3b4GqXRESxeU7croqiMDbp9/uj0creZBJEuaJyTu568lPJ2u/77n/y2y//fRfk5PpGEMyyzHHY3R33hktPpOAeqktGRELhEBaVv/3ms7fdekuaGEuiCY0GY2r9FGu2QRGCIuQksV25bCe7C7A/ILiwH9WvH26sRY2Rc9mfV2GOJPmRI0ygrjgXYbrKrMRfKYsiUaQEqqpAgDxLJM5TCwUEJSiAdfv1rphCx8GnDuKHOnUNh1b7oX8efe1KJzQqo73aQ7/e1SXcYXaqde3Rz49g0q8tuEVRaK2jlWyVcc45F8rSbe1MlFJ5nvkQnnz3nVXw//jb/8Er/serBqPljZVV9uHS5uUsSbW1Zem0feKwCu3DOii74CuXEtxy7ualpaUQnE4MIGdJqhUhCipUCoEISSEqRDLaxr6qrRKtY0adTw5K9gEjEgCi7owdMlrt21rJADXNLRy06o4dFM2FUPNteu8VQa+XCQSijv5r7h4akumjKrb1mbrF6KEjV93ndujBdl8jLKb7iTSpiu5DaNYqMDA04ZHWscP9CNjh0bVxu+Nqj6iqvLVWfJjP53nWS/MeMwsqANo4cfrKlSt33HX3ZDL7W1//dW9727vPXHe6qPylS5e01oPBYDAYJEkySZInEh126LnXdw5SVu6u2246d+5GrdAq7KUJCWdZysFFMzJSjEUDMCafBEia6AE0IaTuxHQdEYktnBBhf84EAEyn/VN07vBIdOnxjOgjak2GiJ1Osmo4HCqlUDiiGqIFgogEEZIShCDmiaG9MCJQBKoO8dZeNggeKXFspXZfgKD1F1vqOuyKV/uVQzsSNOqWG6LF2OkKSAlAJGrp6tr2ErpBgeYTgOPDGYKKUOk00Yo0Kl1VVfCCGlZX1nZ3x7fedtev/Opvfv/3/8s8z5eGg6Lyw9GyB5UkCRFd2d5WSmVZZp7AKt8u3LO+p8gHAXDu3LmlpSVEn2WZMYbAI0lk8qqxGTWVoY7csRFdFD2T1uHomobtD6GiIA0beCu4UhsJ7UZ8CPkfQxNQO+lXNSjjiKwisXEvKbBko8ejiNoyH0REVHWX92YTaHftNuJBBxuKxAvmg+qzc8LD7692nYdWY7zfJiBTk8td4+uHxtGfu+YXMU1T55zRtt8fLspiNl0omyzl/fUTJ+1o5Ye//wf+y3/92UHeS9L+aDQ6f/FC5baTPItB98Fg0GaRnjDBjf1I2v2xJi/hsLrcP336pNJklc2yTMClaRJCyBILyAIkilBF/lhDCkiQFSFiDCPUe3r0048IbjSsa8Ddvt8NACDddDkANHSGAFCz+0eXGfd7+Bw7qqqCiHfCyKEESMDMpA0CSw0IjKoRBYVQIQBGFEMkOkMVXxEwlrC1xyO19ZhRPg5LWPO+vbvDXQfbIw9Fdeo4g0iD5D50wmN0rTS//qkILmhl5vO5dzKfF5UL/f5wdX0jTXNC/bVf9hX/zxvedHJ9Q5uEGc6fv3D6+rN704m2Zj6feu+Xl5eV1ovFQqonjjssajVVc3+H+B+wu/H6cxsrI4Pc7/XyLHGlz/NecIUyViQwEClCpUgb0khEGGokSqtx4aA3DQftMGaOgFdp0N9dXxgOTiQIAgRDSmut9pNGTVc+IAYGIUEGoChjGlBrQxoIxShrKUaOUaG0pR1NgUv8d1vXfMDSbQWi9XUO3VT7lWNf29FkYY+xRJsD9t0pZkZ1DP1jvOaDTDb7ctr96Wu4ZXEsFqVJUmvSxaLUKOsnTpok/fj9D37N17xkMp0tL43y3mBvOnPObZw+Mx5PgSKrle33+4hqOp1qbZeW+p95wW2nH+qnHOOd8XHsd68RwSRJ9ibjpaVBWToBsZmebBU3XbfuZnurg40EJFRlYtJFUWVpSjqpDTAAEkIW9IwEAmC0JSIOgghaGQAAgRadBNAxtwQymzZWrEQvRJFCxBACAgYJwiAMHISDMLN3bjGfDnp9FkjQBNRlVQGiNUqkzgPV0OmaT1Y5XxhlSFEIlSLtKyeBUSlda1Sl9rEGKERIAsgQ/6og/pNFqG61ABBbK0AIda4hCofUQFtEkLotBgA05mnHc4gU9E2FJ5GK1j4AiABRzCxKDL6KBEEBwMABIbZza/rwIFLNfSvQoJF88NGCquObXgBAK+2cy7JMRMqy5BbBo1WisqJyXjjtDW6/4669zc1/9a//99/87d9eXl7uj5Y9y/Z4oqwx2uxNJ1prUpqaSAgHyLIegiqK6omMKoQQjDHMHhGRYFEt+gNcW14aZDZRZDSlSWKMwVh71ADraxM2Oiws3dz94zHL9jmF95eQdFVRe2Qt3s4zc2ptZNSv+/LVPLU1aB8gqk8lAJEvWggZgQLrTBtSGkmTImCFDTybAJCQpM6lHIrQfbJxNcV2DdV7aBwKhO3bbDEHInT0651/H8CyeV+FAO2+F89sjCmqajoep3m+vr4+mU1nk+mov3p5a3d1fWPj5OnFYvGrv/jSn/qpn7rvwYdPnT4RfKwridGMpgdH41bGfRIwcroyPoFVvojonEuMDb6K91+Ow7mbT6+uruZ5HsNA0bhs6aiwE+CETlTy0KP/lEIB7XPpMgS2I5aVeu/T1EYbN0joWJDHDGZunb9IBRmTzBQVXVRU0fEChRT7H+3zurX3eLW76IqsdML+uL91H967H/+jiLYIEUYyhvo8DBg5h+swQ12hDixIxN5FkzzePQA6DiJidOI5rK6fcME/8NDDo+XltY0T5x+7eMPNt/YGSw899ND3f//3/+lf/OXa8tLG2koI4dBiaAN2h2aqff9ECq73IcuyoixiCh4Azpw5E/NMXfOOmv7oiDWjVvtXOGgXtgJ9jdk6+qf4K22pUyuyzBz/V1VVkiTt8XUA/xjZZQQlIkhIAgqw9D7P85iqjcr0QMQWEDHS2R2mq3mct4BXsSkfj8ZtuTtbNV+/EkXToC6JrFu3CACIavq4NK6pAPvgDBkiDCGEwNx07iiqEgC293aNMaPl5cl8AUo/7bnP9Qv3Ez/xEz/xEz9ReDi5vprmmQg88tj5wXBEpAMDABiANhLfXZbdS30iBXd/AgAkMAicPnGyBZRE4KyI1O1njuR42mk79sNr/XZtlB4wD1qONmj+4xBCCABSlgtjTMycISCRqpxTRAiAAgdbBDbdexpFHmPmbegttguotRMCAmilAPnQXVzz2vfdLDiySh+/iu2q7QOfC+9Pi8S6n4j0FQwcY5KhNaOZEMW5UkSCMIJCHbGRNBwOL12+AkqXgYPzT3nq0xjhT/74tf/r93zvhUvbJ9dXR6MRs7jgt65snzp55sr2jtYcanKgoLSN/Su7q7R72U8kOiwG5+Kk+srlGa2MlmPv8IgpiRPZ9mVGxC6uBY5TKteetravX/f41iQ49ElLP1FVVWS+iYOIQAT3W8kBdgJI8cHHLYJZ+v1+kiSNgt3Xt82CayzcxyGyhy77wMrv4AQe53kOAcrab4UQ6pJxhjqtJzVLPFKN/o6CS0QiQSl0zjODsQaV8RyKsgwCk2mB2qRZdtMtt+h+/81//oYf+7Ef+7M3vGV9eem6UydCCJ5DWVazYrGyvjYej2P8O3CnEAPoKPDtcye4TZR0f8T3IhLhgmmimNlXfm1t1Mtzay2RRANXOvGsxgzYn5vaFmSpQXDQVo1D3K+vdVVd5t3oUTfWyCGDwXuv0GdpohFAggQhbZunyYDcVPbtw1URUUIAFmDo93qJtQBBKYUkCpCIIPLgkhI83Nyrvf6rXXlX0Xa15rG2LyIiqHoPqWcDmy2FDp42/p0hMCA3dYsqIESGP6j7Ikm8bQCoeRQUCIIyZIwJgt57QUjSDEjd8qTbKe/9+ev/5Cd+4ife9FdvzfP03M03GFIhsLV2Op0qMqdOrmxtbc0W8xqV2jyGuGBiZqR77+2T+RxpXNy3i/YHaeXnC8oMBOYAeZrVIH8I3ZmLyi/GVprw+76FcMhm/6R75bEmf/eJHDiShUNAxdZaxEi8F5NY+2o2BjhRIg15tCDa4ChEkn4IgYiQhGrBJVQUEyRddMSn+FAP3M7Vvn41/Xu0QgEAapZfEa7zLCyEIrF6USTy57a+WWwhE8AzoAhXVVE5H3h1/cTp687q4ehVr/iD//J//9d3vOs9eZ6vrK0CAJKqQhCRcjLRieUA58+fZ5Asy0IQrXUdXaxn9kBw/dD1f8YE97Cp1FrTtUKqnVRpdHCaps6X1lqr9LwoCeDsmTOxf5NNLBF577tsSDUQDvfnKW7uLSFw1xmPN0wNjjE0bSiJSGmNLNKwvKNIZFCpG+02BNkQWCOhMZwkk8VsOBxmmZo61jqpXElKA9RfRK29sPMeJCJjSZi1Ut57ZojVE4M8sdaSAkMKABioZiloCBKhU9wbbzAu19bix8b1dM7BcSZBJJWC/TXTvIeAB2Ntrf3dnbX6K8jAbIwSoBACKBIR4RieorKoAIJJE2MsR2tKkIiSLHHOXd7a7vV6T336MwTprW9/5/f983/xwEMPF1VYXV+3JgkgWmvHTYgIaL4oQxCoGbdFEF0IShlrrVGafQComyh376hVWJ91jRuzREfpwIqiiDLtnIPABLA0GKY2MQcpf7ub+NGTH9Wd3dH9pLUixQduZu7wHB8zuJF4VEpJxUTEiBBbex68x3qwAB785NBVEdY7B6Lg/mR80ls7yp3YHe1f2wmGztbUPVX3rg89HwBKUoppF0bQEV1BSFq5KgxGS0R6Op/tjcexok4C+rIKc+71Bk9/xrPy/vBtb3vrz/78L77yD1+3ur5E2q6NBv3hUggCIQCic06hRghCigCjxRwvL9ThzhrDefQhHBpPgHMWM4fBeaMJYnfpEHpZMhoupda2Wra1BKL4tJzr0Fl2APs5zf0faOKRB/7ZaPpDYa+u4Lah3Famo7YmAY2QJkZmc02AgiGGw5BB2rTt4YEACuEg6T1Ig6wEaFQuNi8HJexq9utVn+oR0FJzRowEM/GRiECDgu4e1n6Ry7IuPiWjCXVgL4IISgi2d/cItc1Sm6npbFZWLs17S6sbgnD2uhsePv/of/xXP/x7/+0PmGF5dYl0Ohj2kiTxnouiIGWSxAJQuahiuUa94UGEOEtkZqeDQGo46B11x2dXcI9tdxGHMSYiRQlZRKwxvTTrLrU42gBn8yEcO7uHGFmg42Z1j5TWbnocgxuaq5jezLJMZKaUYg8CvO+N1a8MgigKEDB2aOyEEZp1uC9MgkCRe0sR1q2sDj66g4Lb3kvXWemONi4LcOgRHXZu2lMdEnEAAFBEWlkFQnXOO7bFA0yylEmJiACysDI2SZL+cHTq9NkLly/96L/78V/8xV+czsPGxijP+gEESTESIwUvAgRAZeWLxYKoLp/Hg3GhCPvqxrOl9liOl58nLBxmjPGuhFgPiKS1TqxVGMsi9mHOSimtFe03uzocuIUDuIj9MPVRqW0HdfK+LAICCMgcO6uBsAALcAN+rXtr6X6/D3AFEduCqthk+NCgxopvGzW2u8d+JDrScQrWCIcmFdeurvbupGODwnHmUHdIxzftTPwBh7UV3I4uOCDuZBKjlfccfFBKZVkihIDq8taVtfWNEMKV7Z3RysrT7r7dOfeRj37s//g33/va1/3JdF6eOLk+WFZElGR9z0EEF2VZlaUgidTFwMJobNL+FtL++mmJUbrXc437/RwJbszoS6dXVhNpqmtmM5v00kwh0UEbvF2CR5UEHIxfwsFpgM4m237OzIdE7ZB8dD9szx9CAA39fj+eJ3rT2ClV6yyLiAGC5mIOadz6I0JikJox/jhqr6stucc5umIa1Xm7mNtzduOj3YfAzLHMDlBpk4Ai50Lpy9W19QuXLo9Go+c8/4XM4RWveMWv/Mqv/PXbPuAYTpw6OVhSnsOwP2Lm8XTWyweFK71nz4woIMTstda9Xq/rsRzYPw9GivYv9fNN4zrnRIQUMbMETpIkyzJmVkp3bVzoxKq6Ghc6k9oeIE0k4dDncETEu/ZAV0VBR1e1X4w2Q5ZlGglZmL3SydWsLxHpVLwcsHBbwZV9+HgMt1w7nvW4MoLUqSSDrsnbJPO6Z4OO4B5S6krbiCW21orAbDr3gU2aFEX1vBe9iF34tV/99Ze+9KX33veA1pD3bZotzwufJzrJenuTGREB0IXLm02T1zTaAM65tgJq/6aaRquIiCBycFu49qL97Apuh16cI50qNZBk71lro7VmV4UQrFFGU3CVUknXPGf2IqaZhsO24KFNsF2s7ZtD908CAQSONOBqz9Y9Ya1fEbywErHW1oA09gqs1HdHTTaPmv8OjQM+UxTX6CbVedODBxwrvt2Feo3ds7vO6/XJ2MAX25XPEGvasaYSQSSJtaIIwkgiLkTKZXHeV8wrqys33nIrKPvSX3zpL7z0pfc/8EiSmLSXiaAyiSANhz3v/Ww2I9JVVTFzmqYx0e1DiD1iI0sQHIyNdKeGAx9ae80Bx9/vpy+4hxTY1daHEAFEjHVL1AwC2tpERJwTS9YDXH/mtEGxxOwde0TDCkkRGqUVEpJ0nJI69RaXKDuPiC0gqzULQgiqxh8CNHAZEfG+Ay7Afcde6ribAKBEbm5hH1iU1sZOFtOlYQ7C3s9To+fFTNsUUQHWNd1K2ZhXY2CpkUCdB4UsELS2iOg5EJEikojUPKL54vtwleBX+6ijkMZL37+hRsSJiASYiLRxVRBhjcr7ioBrgkAQ5ypEJG1rbhnSTMhKVVXlXAG+OnHy1B233LpzcfPlv/eKH/3R/2teucqHpNdXSsfjQSvng5tPscY/gVK6kQRm5gg/FmbfoYXs3kz7Nj4cjqyrSA3cDEF8nKW2niW+ftY1LtagKQBkYmCk/d7boASCiCCAVggcojo6vAaQAVpF+Em8k/0vHbQopOO6HRKR7mtXAUO8cqWDVEqpwaCf5aZwAbBuHxeVGGBbS0Yk0qZIcD+k0hXBNkWM9fmvWgT0mRl1qRKCxDarEOn2ghfJsmyxWJRl2V8aeYHZbEFKV0VJxpw+efLUdddtbW3/3z/5X377ZS//6McfOXFyjRQZBaQUkPXeOxZwweiaOL+xg6BlIW/HtTf9Y4cc9CmPjieYggkRRVgjRtwgHVxVUItUqw7hqOBew7O52i+2hx2S1EMpiXhwhEwopUajUZ7ni90JKWrLsrAmDBKIJbidn8DGcINjcgfUNRI+7YHH3X47GOttKfLsiLAiQkIQ8CE45zzA0mhltigeevT8cGl5eXlla2cv7w9uffJdm4899qP/5sf+6I9etbs3tll69vqTzCDA0uTbiMgoQNSxVBX2e/FiDMAdnYVDM3vsX+O49gzG8TkRXKEjk8SIOlYxBe+0UWmaAjLRMb2TDt7G4VuiT2b5tSdpJbLrqB2wCDsHNDOAEBuOMmRZlmjFzFYpZL7G7wlFR0o3P3SgX1+riOmaYveZGsysdCw3jyX94L1noLw/ZJDHLl0mY0+fuX48mzqBp77ghZceePAH/+UPvfIP/1AEkjxL837lw2I+zdKeF2EREIQIINaKiGIdwDV8j/ZPj1PvPh6phc+F4Ao1VYHHDEQMzIkxsddNN5gA+4LVfRBH7uq4lXrU5j4qoFeT2vbCojUWgrNacRliUDkmF7oVjp3BAMJCsY1M7OxV4xvDkWMhxsEaa/Xok7naI9tPeTze0axtQEUcu0wrNV0UZGw2GE0XC7LZU5/x7Ac//JF/8o++849f+3oGHA6XiGhnZwcVJTYLUk0XC6VtjPlE5kb2IYiPYOKD83LY7enO6eMZXfvtal/83JsK9ZS322kIwWRpmiYike7l8OVKg0G59nkPrVQ5GME9ZBccsgeONY5rdzCAMWa+cBopyzLEo/v+kT2RSISbGEUdP27+WNeotXr3s6t0kaP1KRKiUnCeA0OWpUlvOJnOjEmfcffTx3uTH/1X//rlv/ffAtJweQ2Umk6n8/lcKS0sxWROsR0kUcwEhQ4JLqn45I9/mO2HrZ1wbcQFHEm1fB4I7jEGAwAAs1cKkyQBlLaBLRyI/nxqhVPtm2sILhxZ0N1/dn4a0KNSKrBLknQ0GiE+7MpKKQM1ELi1Mw9GeST2q4+1hzHVTFDH46jRtY/3prqDZF/j8pE5PXrGGiInhEgCVPoKgFSSPXbx8jOf/QVK21/85V/5uZ/7hSvb2ytr69W8uLS1I6iA2ZjUWlsUBSruDYaz2QxIM6APHoVr6kGlHLvaK+tMHHaC4of07uNRvYdk99jxORPcY6VWkKKlD0p/BpwVOBJO734eB/O1irRace/m6qKeSHMz6OeIEIlYDsB6mkifAEQ2RUZo6JoBpM0SI3SgZCifAxs3NnQgABBSjNpHbWnsF3zpV/7ub/76z//CSz9y771JliubXdnaIWOAEkBI0n5ZzHc2t5aWlvI8vXz5ilIqy9Baa62lZgOsaXtgv5aO6l47xzzhT9Va+GwJ7iEn8WpbADNLp7gQ63hXvSK99wKyurasFEbijAjICqHm4FZKEYGIRO+eOXRhUIjdCpoD42hmqPa3FHWt2zZz1qkO6oYF0JAKGCKaIs/zqoThcn+yKAW0QGyUBA15QRBBUqr0wZKIyGxWlWXpve/nvXhT9fXUl1THFpAloopDCDHgHLwPIcRuK4vFIm7QaZoys4rMBggQYT4NT0fl3Gg0unjx4smTJ13we3t7N99880MPPZKlFrXRiAJ4+cr28urKrU+6c1Ysvu2bvuXP3/TGybQcjoYSi+utBVR5Pqi8q7zXJlleSZl5Ni+yXu7KihnK0olIYmomXeecSSORxf5TVYpivWArrBF2h03lc3c62qfdHkAN3Vs3qYmd5F/88IkIhyF39kkGgJiUwg449fEv0Kuty6t9vXv8sd/tbm0AopSiQEmSEOBoNDIGIsbSh5pers5ARO+n2TMBYpc02NudWGu991DTtNV3jgA15TYAHEFcROR4w8tbf1jP+lWeSp7nly9fPnny5Gw2Y5DRaHTvvfeunTiZ2MH2zi4zBJGn3fOM7OSp3/uVX/uO7/6+pWE+m1dLyyNUxjnXz/pa69L5EIII1F2J6hI0ECFjJGY0Y++tSASttXbOtdkCaWJ/rahhp/FJV3A/Je177Pi8oNLP8/2S9K7UHnt77YYO0ZC9yjmvvdFceyfqym5c6GlqncjGxkaS6KIolUmCsIptqAGgxupjaG5AgFzwgHD5ymaaZ76YA1ADHEOKxRNNmj7ijVplE6c2z/PpdIqxRWYkUu/GmKJl0rn5qqoGg8GiLDyHiAdKezmCeuzy5bw3kCDPfN7z7/vAB7/7m771zW9998baSuX92snTvV5vtigESRmrNCWkkl7fu7rpM4dQlmVA5CYdQAKRb44DcAgsPkBQap+UBRpleXQe24d56MNDk350Fo4dnxvBpbquUKDRtFwnyTkgQr/fJxXbvfB+Aexx8ayjN/P4/bajZ7vaeeKvEBFAzbdgrS3m5fraSq/X27m4l2sblasAKEBEbnEzcXsTkeDBaLpy5QqRbvigqN1oGgKc+ufi9VBDdRpCKMuyLMvWXor3fjUwLgB479M03ZuMsywjoqIo8jzf3t1Js9ENN94yXFn90R/+4Z//xV+pXDh16sRsUWZZb16U27t70U4dj3cjfYlN+1rrNM3zPE1sFmEGzOxcGULg0EZL4pYSgghAQNVwzwDEh9aVyO5tHiu1cHXT7mrz+0Rq3GYHgeGw3zInHEAAHjkYOi5//fVrnvzaf7qGqdBeAyFqJGUIsRqNRifX1x65uBchDdBB3wJA5HEJjLrZ99M03dvbG4/HGysjiA2X9wNHQEKIIoFj7XsIITgfbWKl1N7OblVVKCDWWm0UkkIiY4Nz0GaNOyWoWuvxeLyyurK3t7c7Ga+trYUQ8jy/6wue8863vvN//1/+wTvf/S7nZbi8WjHuzeZkE88ApIeDwaDXK4p5VZRJkuyOJ4sQJrt7xiprUmttnuf9Xl5VOjKzRyL8WA+nja6KAhBBfGubRq6xtgDgqGY9+pyPnbV2oo+dxM+B4O6rmQMDWx8LBoOBUjXapJVdOBirkoMB7X2j8Co3dnXBPT6kcPST+Eyj1yhEVuksy6677rr3fvgT7U83Sd0mhQFQe1cEjJAmyWy88+CDD15/+gurxbR5GgeyEcwQYVNVVZVluVgsEDGiq6IDVFXVcDiECBs6TuPGMuOoaO+///7Tp0+fvfGG++67zxhzz3Nf9Pu/8/If+T/+zfbOXn84LF3Y3NoWVL3BoHR+aWnJamOMslqnqUVgZl5eXp5O55PdvfFsOvZ7BJTn/bzXy/M8SZI0Tb338/m8LEsAEI54Za5rnOtpUtikyusKedhnSzj6hA/NQtchu8oMAnw+2LiIkOd5szyPKXBohzR8g/L4ytAf368fb0ZDNxOh0XMdED1x4oTWyMwRayAKEetSXahDJwiAMTmqjV5U8JGPfOQFz/2iTqaNUPa9U0Ssqmo+nxdFoZSKfE2R0ZqZt7e35/P56uqqUso5115tQ+uwP+bzeQjh1ltvZeY3velNX/zFX7x2y83f++3f+Zu//6fr66tJlo2ncxc4yXomsXlvkKZpnmbCHoC99wSSJrYsS6tpqd/rp8lKNZpMJruT8XQ+ns7Hy0vLvV4vy/uImKZ5kmSFq6qq0FojRag4t3iSVohbKTy0YR59c+yEXkN2P+s1ZwJMcT8TYuTGnSEAQWEAJoC0Jq1RIAgHiTywSSdKp6ClvUnkw9aCfPLIfi0wnWOP9wniz4UQgCUEFhF2ftDvK5TKV0im7dElAAICSFyHRoCkDp0GgIceveiBGCmAZpJIVo4IjEyAqNVsMd+8shlC2NjY6Pf7ijBJbbG3YOa98e54PD51+mSWZSwBQB8NOnKMyZHSSl/a3JnOZ9/wbf9w87HzL3r2897/oUfW14alcy7Ioqx6vZ5JUmX0dWdOgdB4sruYzYf9XFnL3gkqEApeAEBpm6ByLH0BrQsG8Z4n0/lkOtdaD4ejwWBgJZ3NsCwhzk5LXNd6md3HeHjijjjfRw2Dayvdz355OngERNLtdQgIiBAgokDgJFEKoSzdKM9NYpE0aSUIQKiMZhEJIXon0NgXzCyxkhEAfPBNGFxEQBEJlN61pEmHvLCYpYxMicIgwED6kHHCNQEtaUIPmKU9WBT9LN/b3b3rjtvXRqPHLu8yeW3JB0/G+ti2MjHj3b1+vpSqZG+808sTp01/0H/LO99biCqFSFvvCkTJrbVW725tGWOKxcKXVTIYLC8NR6MRghTz6dbOFVcWWuu9va3Lly+/4EXP39zcTJKkcpXEDpiIVfDMQqQQVeCgbTorvQP5whd85cc/9vCXfPmXa2PsoLcIEIIw4PLycq/Xy7IMlRrv7mhtNeHSoAc19FFVPoAx0mCDBDDL+9ok4/F4bzqpKpf1rTGmLMsLly/tTSfLy8tLS8uLhW0dyhAkNMQU2On7Dg2Dd4wkxuKXhtO75seIdlFXcuI/VVPd3ZVo+OwLLpOAIEciEIG2vVuI+Rxmr62qeWGQYnHE49nja4MBAIkkcCwAY+HIekxy9fguCUBNJdRygotIF5jWvpLEPiiBACAwImqi6687e+HSbpIYMhY8MyIzu8AWME17MV/Q6/X6/Z53i8Bg897ebP685zxnNt0rpnvz2Xg82X3swuWNjY2qqjY2NkDIKDRGCctiMS0Xi+CqPLUXLlx40xv+/Ou/8W9Px3vOlUmSBHaeQaiTmgEAAEE1mc0d43O/+iWv/cM/+oZv+ns33XTmvgfOnzy5HgIqDUQULdT9Thl1D+jDo2q6togAktKJ6g1R2WQ6ncagR5rWzNh7e3vT6XQwGCCSMcbaWgqj69aymUiHH7aVaTioYq9tzh47nmAbl5mNSeFxXPqh+6zNXGbq1NbFFgvqQGim/vL+W6nToNAaDSKESMDYdEFrknyACC2JjkCIpTt33HXnW971gbLyBlW0X6xNpfIClGSGtJoWMxTw4gh8mtvx9vZv/vqvvuWv3jje3nzBc7/o1Mk1XyyWs34KajRc9kFIkY4FCz6I8xREIV65vPn+974vtdndd97tqjDsLymlKMFFUYkPgSXSzPjAkbFjZbR8w823/N4v/9J3fs8P3nBm/dKlS7fecmNRlFHzWWuTJGnV3jUcgBj+46bRQczexXUyn8+99zFA5r2vqioGQOInMd7czpFqmgPHU7URXGnylNjE1PBA667HO55gwQ1B0jSNVsTjcae667UNLLQMS2Efk7UfbcBO+BCOrJDWz4tnkEOBCxRSID6AoghrDCHcdNNNxkDhAkSqK/bGptZaQVDW7E53QbjX72mDwjgc9riav+Ptb3v9H/8ZALzjL9/wMz/9X86cOsXeDXr94WhpWlSlc1VVhapyVVnOF5Px7mI2v3T5wkMPPvgNX/+NvnLeBUW0mM6SJEmsdd6LSORoV4TGGJNmZ284++pXv/oHfuAHRwM9X0xRoJjNvYjS1hhjrY36suVDuZqsiECXGCXu48w8GAwQcbFYxJMQUZqmALBYLOpGrSG0pC1tbXb7kKEbwTxCXv3/McFFxBAg1j5gR3Fe7eD2gO4T8d45XzKzUiomeEKIXNCtsGKd14oSD0oBRiKVunuYCDQ9hxuITcs7Vv+61hp1pZkWzo9Gw42NtYfPX4lXVVaVD5KmqbGJTZK19dUrVy6X1cyaPE10YMfBXd4sNMA3fc3zf+QHvn9v60o1mw3yLEPcuXTJa1NUrlwUwZXsvSvLqiiL2XxlaXTnbbfffuuTzl+8gKhQEQfwnhm5S5oGqFgxsPzcf/2Zf/OffiUAjAZitKF+MhqN5mUpQFqbNrVxlDnl6HPGBmMkIu2+n6Zpr9czxsRGu1Ghikhre8QH2LLpR44zOCi13QXT9dg+DeF5ok0F2Rfcax95SCW3lkPMMNUHdFQyYIeLXfbNVlVTB3d0QDQbmrAFRVBPtD3aWSRSWhuRSbUgMnfdddf9j76xWix6/UGa6hAEEY3SVhEg5pmV4ECcL/3l7Z1RP7nx5Or3ftd33XHLLY8+8lBuzdblvfOLWc+mOs2m3ovSBKIJtUJjzPLy8lJ/YKy66aabHn74YZulIYh3Lk3y2WIOTTFmvHhmhkUxVrM77rjjpT/37z/4kY/8wi/91vJ6f15U7IMC1DZB1dZitMFpdbyOkP1OBfEnYgxOKbW3t5fneUwBxg+jWNd9q0VaWEVrJEBHatv5JdqvB8FOzP5THU98HDe6/5+qqdCOsiyrqiIirTV0cIldU+HoeRSoun6qaWPCTVRMEBAVxA7iKKhIFAkikEKNAoULfM8zn/3Wd7zv4vau9z7N+84FRQTC7KpBnq5dd/rS5Qtbm4tRH2+96fS3ftM3vuSrv1qKwpCEflLOZg7CqdFwvLOb9dKq9NomSiEIKxCtFKIAi/NlPhxc2LxycmUJqsAsTIRaJdpGlRaVnBcOjD7woN+/9fYb7r77KWeuu/Hf/Nh/uP3Jd1+8tDUYDCoPUneKFGpXLOPVco5xIqJd1IpdpOCuqTCIon8W3S9uyDBbE6KVYOgmIA9SukRZbxfJ0Wn9pOOJF9xr5N+PHYduMiYhD7FAS53WaoE4naRi0+CxriUEAEYmQVQQKWtjL44m88zggawIMJAoRaRDFW699danPvWp87e9bbYolFKuCqK1AiEGkyQSwt7moqfgn/7j7/zyF71wZXm0ffnSsJ+yD0ZR3s+s6VdFeeK6k7OySigFrRQhsigCYxTFLillWJTFk+68Y29vQlZnRI55pb82Ge+1m6xSypiMUDkBFnXffff1+ktf9VVf9RdvevOHP/aJfq8n0Tc6aLhHIeuSCB77kFvhU0oZY9bX12ezWVmWETgWz2aMqZnEGzcDDoJs4AgUIR7cNXa7oYbHPz5jvApXsa9RKWLkyC4t7fEQEpsG5wlrdEjMZ7Y7YNN8i4mISDHXVVvqYFQluvzT6XhlZaUo5jZNiIiFNVFg38DqsAnNEKImoqqqIqAkSZKiLJ1zZHSv358t5j6wUioEZlc3vkyNdRyy3mClr1Ant93xlItXtj/80Y+Nx2PvvU00gVRukdieNVjNpw9tbvY0fONXPu/b/u7fue222/Z2d3YvXVpaGlijsiwxWjlXBlcak7MEoxWCEkCqu/sKARMgIZtsOYQwr5zJ0rjXaxZmWVpa0kgRhdPKCjNXLqyurs4XVZrkT33q09/1vg8OBkuzRUVKS8N8Hx9dvP2uQj1gazYdyyLrTNSjzrkYNIituuPvtszErfUcR1VVIhIZraPmbn8l4nRbVdX1WLpgyPZiELFyrqu22/dPcBNqIohJed20Gr3G8e1Ftx8iSpTd6C7EpRz3NWjWQKsGAEAkjKfzfm+Y53lZVYuiECKbZaTM3mQaQAi1KwMAmDRBpbzj5fXT1w0G1qYXL12+7/4HXvGHf/z6P/uzhx5+zKYJgCBL4GKQ2eDnm5dnFuDFX/zsr/mqL3vuc5+LCFsXLmpNa6vLWpPWFEJgCcqoNBsCcHAeOfiFi6ywCgGBRZC9ExYkAUVaESICqRDB3oE1YihL53wkBCyqarYo5kVFKhGlAM1DDz30oQ99JM/7zoc0TauwH6xt3SOtNXe67khndCWiOx283/joAN6gRa4dsgpa+YaOYfBpyEn3zN3Pn2B0GBHkea61tgq7NQhwcLc6KKzYtQGyLGuthTZkGCso9mejOSEi5nlehWqxWHhhY6w1hgFnZZXnfRe4qDwgLo9Wzpw5k/Xy+bz4xCc+8f4/eeMb3vCGd77nvTu7hRMwBjZOnhiPx0ghNuudzSoBeMEXPe2ffff/euuZ00agmEzn86lN7OryKMmzEFzWS4uiCBB0YrTWVVWUEEQ4zXNgZh/beThmJmERiZREpAwACEsQEEESKCu/mM29Z2utMYbIJhZ10hNQu7PZ7nh3sLpWVn68N8kDDIYJorREBxyZv7HuaAT7roU0liorPIZUGTu+3aFXOCLN8ZF3eYi7s/mpRr6OimwcT7DgikCSJMxMxnTXllwFRnN4/QnkvVSaho/tyg4hHFAjANDojNK5IJzarJ8mVekmszlpa9Ps8ubOyvr6zbfcnPcGk8nk7e/+wF/8xV+8+a/f8uCDDy8qEICVUX/1xGqe54Kwvb1tre5lS5tX9ryHL3rWbf/8+/7Z3Xfe9dgjj6DIZDJWSp09ezbNk6IonCvj4kzTlJEF0bvgXPCOhVl4IQFCcN57YC8ikT/eO0ZFQE6QOAiDgNIaSQUh0taS1hoASanEWKWtNunqidOnzt7wm7/18le/7vXr6xvO8wMPP7K6ttE2Ou4+xga9JdIpkoEmLAgdiTmkkqGR1Di4oQg5pGXiX9vZ7Mr9pzS6l9HVWU+kqRBvx1rrnIOkbufe1bhQa+UYfz0eWJRlmdYEwCKh8UIYUQRCbC7Dwg1iSwKgtgY4BOG9yXhRVtoko7xn0/yLn3rP+ccuv+Ud737TX/7Vm9/8loceuSQAWlOS5KmCPM+RZHdvWjnuLw2MMUUx3xxXZ08Pf+hf/Yuv+NIX7u1sn3/kvtFgWBbF+umTWZaV5WJvOknTdGkwsNbOZhMiUqA8exRJdKKYqmLhFgUEDt4H730N1nYsYm1KWqFiFmSWICgYApIrSkQUwRjwt2lurQ3idye7tz35yb/00l/5dz/+E8tLy64KFzYfWlne2NnZsdamadpmtlrcMzf9sOKTjFzw7ngOCIDoMoa65q910drRlSo4mIPgDun0NazBY8chy6QdT2T3dBFBhCzL2lXe3Ue6ZkN8JIdsnbjHxZwkAHjvtTXQPKaD2rY5XkJVVSZJldIoMhjmp89evzRcnc7m//bf/Ye3v+vd7/vgJwJAomlldQWA5ovSAw1GI2YvAMvrfVcW29s7VbUoF/4H/+X3fPVXfYnReOnioyB+aZDmmTWDHLVZhBIQhsujfr/vfLmzs5OmFgCC966qAEAB+EU5n8zEVa6sFotFtZg75xCACJRSQTkkAmUFIDD6SJAOgKiSJEnTPMlMkiRANJlMdnbHH7vvwe/6nn8ynhWe+cRoZVE5Oy/LsnRzb4ypqipN04iZjPLU+l54MKzblrwf0tDtM4yC2349Rna78xLfxGhD62m1/nRbLPk4x1FtFccTJrgNJkj1er12W2nD0a26jQe3gtv9UxREpLpRelVVpBUAdKPiRwRX8n5va3fPmvS6669fW9145LELv/hLv/rrv/0qANAaVlaGxqbT6WJnd5qmed4fOZEgVFbBWjsv/Hh3N03tyZOn/+O//7/WlpdcNUeGYT8FrlJrBks9x8Z5Nsr08pwE9uZTQhmtLE/Hk+BiYmzhyrJcFNPptFjMFbOvqsViVhVlCEERaK2V0YTaBV86ccEzKCAk1EAqHy5NZguR3bIsNzc3P/HA/R/64EceeOTR7XkIAKvLyxsnT+/sjovS3XDDjfc/+IBSFKHfzrlYXN6aDdFL68IG+EhfsfZ96z90rdhumheO29aPtfc+pXE16+KzLbjEKADUMPg2VyMQ2GkAq00vTTUpQ4pAVNv4+AAPQ4R8HYAUNYIrnoW0CcFV3llOUCBwMFrFXk6EIAgiyBj/pfcmi9Nnrr/hppsfu7D54//pp3//Fa+eFrC6mittJ9NibzpXJhiTDJczpQwHTrRelPN+liSJuf+Bh9NU/6O//61/91u/eTreQ3HDfj4cZL4q0ywfLQ12pzOdpTbLSKBwFQEmVgfvd7e3iulMnA/Ou7Ka7Oxsb2+X8wWSWG1EYo05FVUxnxXTxbys3KMXLk5ni73JdLYoBVAnNk1zbczObLY3nYzH46IoikIqBgJILPV7mUmy3enUesj7g7Q/mM/nKysrZVn4zohebNQREcAQZTfaDCEEY5L2CXfNU2nij9DYDNFsaNp44bHCeujNpyHEV7MxPmXBPfT9Vp664ZXu7xHF1Swi0dyMbZfJKMtVMej1+mmihBNFyN4VC5tm7IU0Kq0JkH0AFkQkhYgoFJtlcmyQyEBJkqCxs/msl6ezyXRpOCBh8C6E0BsslZVLen1UemtvTFqtbazeetNt5x+79DM/+xv/7Q9e+fDFXZOowepgEti7oG1PWRARJhWExVeZ0eBny6m+fPHhiuHLn/f0f/Qdf+/mm2+8cvmB1dFSv99PkwQYbZYlSRa8ShLLiWIIAIhCvipDyVKWbj63QOPJ9LGHH0ptMt3dcWW5POxf2dr66AMP2ix//wc//Njly3lvaXNnvD2ZjedlxeACeACltUkSIOX95dIVrMCmqfehcqITrRArz14pBQSl01kPTVK6gMhpmq4Olitfjsfj2WxGREqh95X3lVJKKVNVVVXVAdosy7Q2VeXaeuN2f29lruuHtYZszLfHJEXrq7X5sHYjbZMUvjEhpIk81D/XZom7YiYijfqO8Xho1PkTYyqgQOUqDCExCjE2Ow6KyBjT9leK7bsPccs1j6xZvgjT+byKaCki1KQAEVAhDZcGm1e2bZ5XlZ9W83w4uvVJt++O5y/7nd9/5f/84w997CEBuOncuTLw5vZO4UKaZUyUWJsokuDFeUNoDU3H4yvz6vrTo+/6rn/4oi95/mIxm42v3HLjdc65NNFWGxFEMIgkaBAxuEpUUGiEvSsrKYqwKMrJzC3m4+2d0xsn3/n2t66vrpXF/M/f9tbHLl188d/6uptufdKLvuwr3/n+97/01377vouTNKE9B8ZaNNZYC4gu4i6SxGY5qzBbTF3hyFKa95xzlStYyJBGRK0NGa2x1qksXimV99IY247p8QgWWyzK1j+L+QhjTDR2uzIKnWhX/GcXadAeLCIR+tj91lFl2fVSEPcDoI/Houjq7CdMcCEa78xZlsXbiK7VIYcA6zYJR5vJdPAxzHVQwQcRqYInAaVhZ3eikiyg1iZZyge33H7Xe973gZ/86f/67g88iADDQa+/tLQ73ruyu6e0XVtbZebpdLqUJ4pkvLd7YmUtTey9H7svI/gX/+w7vuEbvo4IFovp8vJymmzMZpOlpSWljFIKgJAju51TCEoYfEARt5jPx2M3W/iiqGYLtyguX7788Xs/1svyzZ3dV/z+7918883//j/95+XTpzYvXZ4X7pu/+e887Zlf9H0/8IPvv//Ccj91QgGFQ+UFQggMQkSgQJAtkU40AFTzWVV5rfSgn0dyO62ttVajZuYgXLY+mbLOOWaOrzFxGEWnrd2NPq7NaqJi6BAGtywe0glTtqLW2gxt4AI6mfxWQ7eG9bGm8NXk5FiBlicwHKa15srned4uuAieTxJz6E46PplIrOWC1nIKKKxBXLmoFFljRMCLeEYvlCR5FcAkvRtvue03fvt3fvnXf2t7HLJUa5N64QuXNlWSnjx5kkG2t68Mh8O10WAxny0PerfedMOH3/8RBnjuM+/+gX/5z43ByWQv72XLy6vGKAAYjdYa7RJXlzB7EEAUFZyAlyBhXlTTeTmd+6JYzOebFy+tr66VhXvkwqO//Zuv+vZv/9p/8A/+weWtK6MTJ9bvevKH/vKvPvb2t+WD5e/4jn/4y7/1svff+zACVAACoADSPNVaeR9cWbnAvYE1eVYnrrOEULmiHAwGEf1IRIpUoztDA65FY0y/3yeixWIxm816vQE1/VYBgJmLomBmRonA8LYPa6toj/q70MEbeO9jvWccXfnu6uA2ziAHIY6PR+N2T/WECa5SyjUo8jZG025DgIyETQOwyHkN7Z8aZBMTgHMFhFAtFsEmJkkRVAjsA3pQbuHPXH/T7rz4x//kX7z93R8QBcPRIHiYLErSKu0PRGQ2m1lr11aWOTiNvLEymuxc+cADj5wYpd/yTd/8kq/9qgBubW1lMBgQ6VgghIiEmhotQgQIjMAigszknK+KYlFNxuPp9u58Nitm8+l0Glx45JFHP/7xj//lX75JZ/DcF37J5u7Yk/74Aw/tvu/9JslOnDyJxt5067mf/qn/vDebf+SjH/v4J+5/z/vee9999+1Ni/a5GYL5XgVQWQN5bpMk9SzFokJgFCRQKEFIa60jTS+7iNVCaqDfIhLr4JVS1iZJkuR5LiJRGcfPY5g2imB8E9lJjqrbVqyj6CNiDBsfDXvhQfe6q5vk6gnhLoV290efyAREEGgFV2ttTI056m4lAIxIgFzHcSkW6reWg2iQzGgSgMAgVFW+KH0lyuaDO+5+2jve88H/89/+2yuTKsustnZeeQZdMSZkTZJG4LgiCMGtjAbVfHbfx+5PCb71G77yb33NV586sQ4gJzbWSSkA1pqAcbEoiChNM3Y+6loUAWREZl9WzlPppzu7e9s7e3t7i1kRQSdVUW5v7/z5X/zFQw9d2XHw4i+558p43F9Z8QICMFpbDYL9/nBnvJckZjzeNYn9gmff84x7nvINX//Vi8Vib3dy8dJj5x+9sLW9uXnp8uUrm+PxeF4Uu7vVGKpBrk+fPF2UjrQGUoIE7EPACBkgEk06kpxGS7Tf7+d5XpYuWr3OuQi0TZLEWjuZT6MULhYLANBax9xyMx37RTjxtcXmRixODDK0WIguLKad3NaAfjzWbSvTny82bryCXq/XFkK12xYgx9hD2x8q3ndH+3L8mAQVUqIVSCjLcmZKARVQp8ng5tuf/MpXve5lL//vVyaV0SYfrmxu7ShtBbG/tGStnc3n3pVrq0uDPBvvLT72kfsVwIu/5Au+/e9+67mbblAi/SxN8gQMxmJPBCZljTHixZceWLSOERMn4EVcVc7L6Xx+eXu6Pd7e2SmKwnt2zu3sji9uXv7DP3pDxVACvOCL7vpXP/wjzvskSYQQSIbD4d7eZHN765ZbbllU7uGHH57Ni/H2lRirGvWSlX7vprMbcs/TBWKtfBDBK1tb737vB97xrnd+/L4H77//4TOnVjUqpYgFAwhIkAg1rHtvUZvXjeGwJMmqqhqPJ865oiiijZskSb/fj6ZwVVUtaU1VVd0mHUfFsVXMsfAhIqRbhX3Uij1UiCFXLyWCI9odnliNS0QKIcuymDT33jMbpQ+E0uLAlucIuW4M1eJrBaqqiJrDBwCVqSTLB8O1E6de9Zo//Zmff+lMYG11YzxfPHZpK81zQZXnufeetF5fX/duAeL2drfG27sv+uKnf98//e6n3vnkC4+dJ/bLS0MEQAmBQVtNQMwc2EWllSTJfDozhAjiXcXiBFxRzorp+OKjj5aT+WJelq7aHU8feuThd7/nffddrnIFz/6C237wh374zA3XP3bp8tJoNJvNrEmyLNkeT5aXlpZWVx54+CGt9fLyEnIQ0SIS2HHFvpE5ESEG51zpfKrV13z5l37D173kgx/88J/+xRve8Ma/Svvcy4mUVkikUVAxc+WDSCR7kq49GgucsiyLXlpZlvP5HBHzQS/CF2NFZGwRHq0L7DSJbkNm7WljvaRSKhrffLBGEg+GhLvze9RuPnYcOuYzJrjXaI4MAI3ARRJgQOGyKHu9bDgcOucgqZG4SilCqg1HlIYuOJqVsc4WI/MKAJACbhjigxebJTt7e6PV/OyN5177J3/xy7/1ckqygbHTwnmgLB+AIkRlbFq6cUxGuqowCrY2d//2133Zj/zQvwRf7WxvLvXSzCbWKERkCKBRRFhYBIG9Rq1JSWAFmKR2OtmpysVgkO/s7n70Ix8aX7qyRL0LFy5sXt564KEHP/ChBzcLuG5d/71v+rK//53fGRCQ9JXdvSTvFSHoLBNERuoN+lXw4t36xioAlPNFniWTyR4iahQhgEYbMTM4JkVGJZX3u1uXaWzPnFj//33LN95w9vo/ft3rP/HAw4NBMugv2SzXxlZloUyirZ1NF71eL4I/F4uFtZYZ4j/jSJIkiumjjz7a7/eHw6FpYE+tOEpDyxfNA2stNimJ9sPo2AFAhAtHU6QmLSWSJmornREVdusFHpLvNjnSNY5VpIx8QkZ7ue0n9RXjfmNygNpsAJCmH2SApoFohJ+cOnXq/PnzgjiZzSnprZ86/T/+5x+//L//YSANSEHI1/kLRUYD4aKYnT59enfnSvBycmP14x/5yBc/56n/5//2Q/PxrjUqT0yiTaTNJCKlNFHwUBPhYx2HCyEIYNi+splY0lq97/3v+cTHPzoa9e+5555XvuwVH37vBx55dNNm6guf87SnP+vZd9715HO33bq5s8uoiBRphVqTUhEsH1gUkbaklNIKxTsuywICgoivOHC728YIl9IoyogIgcRGwMIBfHjeFz7rlnM3TufVxUuX3vb2d33iwQesTW3eY4AoZCISM7pE5Jwj0tigFFpZUUqtrKww83w+j6m1GOFCxCRJiqKIKiPKehSpq23xsTgiWhotbkFr7WvC3cPalw8Wzbfv27qgaFK2Wv+JFNxu2K91ThXBfk+b/QBCfUydT4nILwb2/rGLl3qDYRnYQ7j++jMf+fgnXvmqP14IaK0DaondjbSyVmutBXE4HF44/+jJ9ZVisffgA48ogh/6gX8+H+9qhYkiY5TRiii6iRqIYrArcBBBEgIIPnjyYDRtjrc4uOCKajG/7vSZnd3N3/md333j6/7y1Mbal37ll9799KfdcdeTV09sLMry0s4WaYukQCs0WitDRisVlVBs2ceRxBOCJ4Q8tQYHk8le6SoBBgIkUgjG6qqqQGItBzIwizAgBF8Wi35qrztx6plPu/v5X/ic+x984H3vff+7P/jBceUY0Jq0FdAWcU9Ul4e0Ko2I0jwryzJavfFx18Q5VcXMkWMhTkcMAF9tfg/Ba1q5bANHh/TrIdk49P6w9fgEOmcAEKs7Dhnpxx0orfh2twxmDt67yk0XVRm4PxqNF4tf+a3fmlWwurq2M5lHC0WT0tYkiVUEIjLe3bnu1Mbe7pVEyXziv/1bv3rUz3d3Ns9df1Yh1BQ4igg1AzKzEDJDZMkAYGCR4Bz76aSyhrzIpSuXJ+Px+vraeFc99NAjL37Ji5/85KfcddddtpfN5sWl7StkbdLrAyohRKVJa6WM1ppIEREDI4oGBHEQ0PkK2AOHYj71RYnCibHG2Fp1iQDHxKGKcBwiEozkwg58ORvvindG21uuv259aen222//nVe9ZmsyS2zWGrhRX3ofXfv9DFZ8+HHHj6yMbWlJBBO3IcsYOjDGDAaDmPI9OmK5VNTorezGu4AjmJP217vCgE2FxTHzHsITGVWIgtt+cnDT2e/20f61Waz1kmUOVfBLS0sf/MjHLm/vnDh786+97Pd25rC+sb65MxZllSJjjDLaGjIGQUIIwRCALzOjcosa4M4n3bK7s3lidZkgIJLShFoBqoAUGFmAGISBhAEYgRm8gOdQFYup8yVyOLGxdnpj3RhzeuPEk+94yqLwg9GySdOFdyUCap32+0mahrqlmWrcGlEALJykSVUVZVkieC0ogX3lXFn6ysWCCFdVvgoueERlrXXBiwiiFxFhQLRKIWiCoHSWIqImgOC5qlIIp9ZW7nn6097wlre3otZiYrSmVoziLMTcb1mW0UKIMheDu8wczZVW0UiDNLjGFB9aEocEtCsJB8sxoH1/KHbR/umJ1LjxWXS9zhbTeHBEdcuIKhLNtK1i48q7tLUVkM5cf/3/fO1rH700HQySonRIGpXS1tgk0VopYoocIBBWlkc7O9vEbm+ySBWsrQwzo6fjXWLX6/XSNNfWOkHnmYUQdOAAgIRaIICwCAM7pDAYptNxNd6dpWm6tLRcFMXe7swkNun1SwmLxTTJ8v7qCIhIm8K7LO8DAAohNgRQIiiAAhKiDUcKIJSyWCzm43FZzJ1zMTgaSTyVsYgYCXTr/ZpRVAAmCUERLIpFWZYry2snTqyFEC5fvDjbmz/7Gc9823s/UCwqEen3+1EQAUAp0wpEm+CFZnNviehaqO7e3p5SKs/zyJwHAFVVFUXRkK0fHjFY1OXAq90y77uC2ErqIVu5I+tw1MY9DGL/XI4u9DNekFLqiKG/byS0iqq7CgPL7mR66sx19z7w8Hs+fCFJQdvk4tbu6vrJKnCSJNaamNZCYQRWxHs7VzbW1h596H7w7ju/45tGgz5wMIbaRyxALOhDZPkQLgOhKGSB2E69QnYCfvvK5iDvLa8Milmxs71ldDroDUFpTjSlCSLaNI+dHG2WJg0pDgqgCGJsVyYMMp/PlcLBYGCQp+O9nZ2drcub89mkWMzY+Tr/RBqAWBCQBZm07ue5tZZAhRAksKv8fD63ZHRi3WK+deGxEEKoqpXlpRBsVVXtA20RtK17Xj/ofX5FEZFWMbeCG2v7on9mjIkQiEhsc+z8SgPwhWZttAr1WD16yNtp39T1L50iovjXz7rgSgPv6kByGZCFuelfHNo7UQCAjE03mqbHFBDErnaMgNhgcwUwiDpx6sb3f/je1/zJm5IEQJvJohiMhrPFPO8NyCilkEXYMyITgUKDyp9/5OHJxP3sT/+76c5msZjlp9cl+Cy1ishXJQMG1AgkwQUuXVEahUIo4iSUgSsQByBLS8vFbK6U6g2WnPMarDZJxZz0h5QYVwUhpZQWEEQVe9SQ1L3N4hsFogBIRAP6+fTSlcsPP/DA5uWLmmBpMDxx4sTly5cfe/CxS5cuuSrYLM2ynlKKQZI0HS0t9Xo9raw1RkSKojCobW6qqpqNt0Q4xgSSJL14eWt3d3s0WgFAFu9DpQ1pZb33iKRUQynexJ58cF1jABqxi1zTURyLoojr/BqKL9KCYFMRFD/p5oGPCm5XZNv3XRs3fv5p2rit5QGdzeW4Lb45HiHGkkAA2hSUMAisjJZAOEstosQYTdbPOywrBICARASGMLiShBWCCGgyk6IKorPhIB+d/m9/+AuXJ9DvZU6ECVxVraytCyIiMyIIBEBEi4SVr8rpYnd3ceft199xxx0v/82/Pnv6uePxOEtsVVXiAwCkRIS+qpwwaKUAFujB13h/JyLxakMQ1BkDONAqzYw2WhujDWY9J4CGCRWh1kTAnJDVSgfnJTgUUBTzL6hJlcVYinDvRz/6rne9Sxl65rPuOXPmzHw+VwjXnT371Kc+9U1/8YZXv/rVk73x+vr6aLQyGK5M1fzKxZ319fU866OIUmp1ddUYNZnMRMJwdSQSxuPdcbETNqvX/9lfO3alLweDwXwxT/KEhRmZm1YGAoJ6n3WKZN94i0LTNcwQMdZQFEWxu7urlMqyrA1rRsFq0xPx/DEP1wpxbQMwhya8oJUCpbhb/dYphIkBODioib33n12NG6W2LWMigOhaIQgCWE0aQURIAFE0kQgrAQCgGgAWbx5FBFisMRIcC5Rl2e8PL1zeuu1JT/nl3/iDRy9sK6VFGfZOGaMRjYlFfxIJpAm1ADovrqhX/Je96Eseffjh0WjU7/eNImEOlSMroSoLYGHlghckUCr4MpbdIjCwBI7PN4ggaVWn+E0SzUEmRUmGzMxMAkRKK9I6UQjT8Rg4JNqYRLEPHNhz8H6+ffnym/7iz++9994bbz73nOc858zZ08450tpoHdhnef7sL/rClZWVB++///3ved+73v6efDBUNrn+zPU723try2s6sefOnXvw4UeTJFlbWxksDZE4yeyJ604uFrPzO+OyLAAkRtxiWsf74NzM6CT2PgIAkfhYDtcBHOsVYSfBG3O8Ec6r6twytjWVXfGFT6v8ofvrh8YTF8cFSJJEx728k43UTT/fQ3cZzfNZMTdJygDzeXHqzHV7e3uvfvWrt3e20yyLKUZrUyICIKzFlkSkbde4KGY8nyqAL/yCZ733nW9bW1nppZkCJvDMDAze+8JVwaMgYIyzhnrFR4OtBisRRk7YLMtsliZJVu9oQAFYRaQFAoKwd2VZsHf9fn+8s0s2Cc7vbu+Mlod7uzuve81r3/OOd9xyyy1f/be+7rY7bk+SZDKfhBCyXl8ClwvHi6IoXdYb3HrbbdedvfFFX17+/ite+d4PPNrLB8poIm2S9M1veetwOMyy7OLlS0lmh8N+lifMYbGYTYLkvf7S0khrXZZlVfmWYAZqSeqivfZxMHBcALV1sADqOr+YUWuQk9IG5vlg/XBz/mthEg75atDob7zK8Z99G7e5FopXDkICAkIIkWo4HhYLH1p8KwDUJOYiIiAgiBgXtwHQWs/G47vvefZ/+MmfeezSRaU1KCqq0ujEWgtAIQQkHW3qEEJVVdFTEB+ch9tuOknAly5evP3mmwgwVE4ZJFAAELyvKl95Jq20Bo9ATRgn7mzKaGOMVibLMjLaWhuXijTQPkCkZtu1Siul2WOAMNnZHQ56VVEaqwbD3qv/6H++4Q1vGPYH//i7v/vUqVN5vz+bT/dmszTNquA3t7Z6vUHW6/fzHhFtbe3sTKbsZTha+p5/8r1vfNNfveqPXjNaWd7dm9122+0+8GB5OYRASpE1s5K39rYYeWN17dyZ6377VW+YzYp+v9+QmFMTftpPXHVfuxhZOE58D/01RnxbLHlUvdEabmWxzT5cw6TEgzTG+4L+xGpcOrJLaA0xpg0H6Kr3y0KgUbpRdAOHypVKG0ByIdx08y0ff+DB//7KP1SkjckdBw6gEoOoEBSIUOwuy+KrUCwWKNGsJA3wBc+45xP3fnx9ZeXUxjpIqMpSo0at2fkQpCxLJ2DQEjEAiFZIqIgouhnWJEliTJJlWV2kASQAXpgFgFmCt9ZqY5iZnatK58qqLBd52gu+Cq78yze++TWveQ0C/O1v+Pqv/IqvevjR82XgajpDgjLwZGcnTdONk6eC56oqdyZTL7CycYJFLl24vL03Hi2Zu5/29Ntvf/Kv/cZvvO++85PF4uTJ008erTnneoN+CCEI33DLk0arKx/90Id/83desbU9ZmMRox/oQwgghNDWo3c1btz6anApHPReWiXdreph5paLvC2fjE5bVMnSobS5ti/UCMAxWd9jx2e9607TabG+mLZRTby3dvdp7o1ajbt/Ehah2pdM0zQIBsGzN9z0/T/0v13aKqxNBIQDpGlu0oQDaI2kao5s9sFVNVMsAiIHA3Bife3B++975tOeMsh77AtkYS/logjBeZYgom2iqUYIaGuiYlXWNJacjnSOUQ0z7lcURtOC2HEVnCvZizaUJibVipnf8Za3vOY1r5lOp1/7tV/7FV/xFchy//33L61uzBZzF0JizHCp78Qhi4DqDwfFfBZ1WJb2nfcXLl2ZTCazRXXy5Omd7b2vecnf2n3Zyy9ubk8W1cO/8/Iv//Ivt/3BcHl1dzJ+9wc/9sj5Rz/8wQ999OHzG9edIpsopbgpLyPU1trQYAbgmvisrhZs/fqunxQDJm3JQ9S+kciw/dbV1PaBWe5gaLoxhKtd2OdC4x5VtySglTaqRmoqbLkmDwuuSOQaBKWMQvKBmWTj1Jm3vvM9f/THf5JYCIIQgIh6vZ4y1nNAJAnCnl3lgnfee41ktBYJ3vmTG33xZW712etOu3KhEIzSwXlX+tJVnkOSZdbaPO/bJI0UB8omxpgY+gnMIshBnKuEMDIhI2ID4GKrFXhfVU6E0zTTWk2n0+2trZ/8yZ8MlXvRi170dV/3EqXUww/cr7UejlbGs6nJc8uyKOaeabDUV0iLxWI8nRtFylhflVXgKgQglfX6y6PVK1euoKK1jY07n3r3n/7528bb09UV+N3//ge78yIAZNZ6lrl3gyS/6cZzW5OJAQ3ilVKJzZxzIUhV+aNx0+77QwLUilH7p9bY7ZoB+z3gmWezWVtGgZ2C4auJ79VMhSdMcA/+sAAIMAgINfZWnVkQD9xd3EoOnsRoTaTH0zlZffaGm378J39msoDhcq9yKoaKdWKVNlwJoirLEoB95ZyvSNgYk2hVVSF4f+vN50j43E03rIyWdjYv52miFS4qH4Iry1JE0ryfJnme50mamcSirrcFEfE13AlExHEgIkWGIqVukwwri0KJJNb0ej0AuPfee1/5yle+7nWv+5Zv/KYXv/jFp06duHLlCiL2+/2iKKbTaTZaKwMLQG8wjBACDxxVvkioFkXpPAog6SDimcfjsdZ6Pp96huc973nvfv8H8t7gwqUrnkVrrUnZrDfs9TdMAkAu8OraBiMXReUavk6tVU17dXCOuq9Hxaidxzaw0EpkGymLUxlBPLu7u0mSUIdzpG2kejVROdZUeMIENzoEHNt5cmDxCnExmfdXl/I8D84DWxHRRhMRinhhYiAUJEICABIOLOyYk8SEEE6eOPmRez/25re9ExBI22I2V8RpmnONhamToovZLFLfaa3EO8cOgQlgY21lZXlwcmN9Ot61Wi9mc2sUBF4sSs/c7/dXV1eXl5eVNSaxaS/3ntsdMNTahbDpDY2gmFkauCCypNYaBDsYXHzooV/6pV96zWte/0Vf9Oxf++WXLq+tVlW1tbtDRseYSdbvkU3nruovrZRlGYLP0ryYzefz+cryUqhcURQESKA2r2zO58XS8sqVy5vRauz3+3uTWaLUs571rNe+7o3DUZ9MWlT+yu54tD5gUSrJtLKOK8ceQIxJ6kAkIgC0iV+4ylbeda2wU7HTjmh1xPmNqMWoa7HBM4xGI+fcYrEoy7JmktW6BZjHY+LiUU215qFraMph6Oi6ks99BURrNsROGN24DLRV0SIokbEOEJr6JMLxdN4fLm2cPPEHv/byzZ2JTtV4XgARGa2sUkqxSIu1894rBK0JOYAEhWoynd59x03DQb48Gg77OSEI1GS649l0Npv1Bv0kTYkogCTWmDQhIhEn0myUteIRiOY7coy0iUgVAyCuMM5tX770ute97lWvetXq6uqP/uj/8aVf+qVV8OPx2HNARKXreKciQ9Yapso7a21Zys7OTj/L11ZXF9MZolhtnHOuComxMyJXVvEatFIXLlzI8v7DDz905uSJ7/quv/dLv/pbvT6mvf7JNH/s4qXRynoKNHcuTRMIxHWtb5QJ6WZfP3sDEWPoLRJAEVGsaYvhMwBonZw4Wde2gI+Oz7rgNmmww2PY6yfGGFIKDvRr2I8kMBNQhMbEM3jvbZp7gT9+7evmJfSXsnkVlFbKkLYGEIP3zpVV5ZswihBR8KVVhOKF4a47bx8N+v1+T2tVVQU7jwDlotjb2wMAa23WHyhtY2s6VOQ5MDPW7e1ZJLazFIgT74MI+obe0Dnni8Vjjz329rf8ZRX8v/3xH7vnnntCCI9eeKx0VZrkqJXRRltbt31FBcYMbP/RCxfSxG6srfsyXcznVWACjCmx2XS6t7tbzmfT8aRaFIk2lnDQ729dvnTvRz98+vobHrtw6c6nPO1/+bZvftUf/8lsNltePxEubjKI48AM2iQQ85Xso5mKEcxO1GZfOxLcwKA/E6ONLcSy9RbnkOd5VMzRxmjNsM87wW1HTNNzo3QjLS609XeAyK1nUEd/mRnrRsDAzNamAPCRj37sY/c9oDWIsjYB4UopBODA+x3pESUx1pWlRnDB2SSfz6Yn1gbLy4O19VGaaeGqLEsMLCLRtB0sDbM8N8YIYT3xMVHJIbZghSAYm6hCQFDS1E1rJKUUR42r1PrG6jd+8zcnScYgO3u7IoKKxCNqZRJr00SR9jEhAkyetydXTp04iQSbm5vEstQfSODpbOqKspgvxuPxZLoXu4v1ez0Svnj+0Xe89S2jldUTa6sffO97nvuCF+aJfd7znlM4/+dv+quimI9WR0WxqDwPl5adc9CEOyI8Dun40Gwjvp8x2W1ZxogodrSM+PT4eRssa6G617B9jz//Z+QqP+k4nAeLeI7GWj8QEQNV5x3iF+MrIggQUZrlf/WOvy4dJFlGynhgERAInl0IVeU4SFCKlNKIQAqMUSUhs184+MLbbtGKTp0+maZWIIgEBPHeee/7/f7qyrpKrA9BgQSQyjsiIEBiJg7CLBwNvvp2SERq4BIoAk0EisCoxC5JcIIggEXl58Uiz/PR2hoH0WlC1ogQc/BR7IPPsmxRzCVwnqSJIuAQylIL5r3+ZGdbE6wtr4zVeDodb13ZfPCBB/xiMd7eno0n87KyWn3Zi174sfsfmBXzF73w+ecvXHzvB++97tSZC5vbhfPOl9s7xaDXR4xk/Y2fDszMRDoqB/h0k7HXHkmSRD0iIjElEf2z6XQa0xbR8MUOivJTGp9rG7eVYGttF6PTLjiFGLB7YB3mV6TKolpeXr7/wYeDgEYSUsV8YZUwB+fKECQEIFIKFRG6qiQUpZTRuioXPQPnbrph2M+XBjkhu9L5UJFQrObrDfp5v1cFX7iKgjUiLgTFZJQC9nXr9JqHHiHiLyITCIBnDwAQAocAgcvgqqqIitbY5MTykjHGhaAUkVYMFICDMCgCIBE0RpWLqpdmCLB18SKHsDJYytP0d3/nZfd+5KOTyaTX67F4F/xsNrt88UI1n1936vTm5ubFK4t/+n3fcfHC+VMnN3bn83ywctO5G9//4Y8Acq+fqcqzcAhcVVULLYiGWNzQGo3bdcj2V+bffEQspeowdcdriACdiC+LjVqvgsP+JOMJIr0DGPT7VpvujcE+jKMuKYnvEZEIY8BJKfPQQw+FAIpUWVYBIEAIAsTILBFsDiAhMIeAShbzqUgoS77rjhuWl5dOnz4ZQghQBeedqwzp2KY9kgZE69WzeA4gLMyxJgsl1M3aGWsty0iKYjoYQvDOQ+toh2CMMSZBVQcfgBSHYGwiijiACywCGPvtMM/nc6P03u72YjrbWF1bWRq94f/505//2Z+7cnmzKoqq8kRQVbBVgQU4u2G/7mu+tpelH/zwh37oR775He965/lHHrrBGgghtXo23kutnk+nZekcozZJr5f5KrSeONWJ9ah+69IdAADgFnL6mRplWbZJtS50od/vtyXskfQpws0+1fN/9p0z2VeeseovOji9XmaMJgWAwuwZlIqFBo1SQxAEJIn2LzGgTbLZvHjk0fMCoLXe2Zvlgx5UDgURKFKGEOmIp0FCBp5MJplFAbjl5hss0cb6aqimmhCREImMTlEpClmee2EiAk0oHELQwhjYh6CiKRbjCS2aIsqB1L0s252OiJx3Wic6tSAYQJRJjbVoIp6BODj2IgiaEVGIxWg13xuTwM1nz146/9h//rf/7s9e/6ery0s3XndmeXn5ypUrDz/6UFW5FOA5z7nzn37v96wOeuPdnafc87SP3Xff05/5jD9705vWz1yfDAb3fvwTf/nXb9FJPlpdUdPFld2JUvHaI4oARPYxXEQUeN8WEyGAEKupP1PzHhtLtRWXjRrCyWSitR4MBiGE+Xze4nrb8NzjHJ9ccA/FzzoBrH0D/2peIQogiyIUZQKA0grR+moKCkyinJ8ZbUBKpXpEhMounE+UgZpGF4gDCrIIC6GxAdV4Xl7a2jUJee+t0UpAicWKGYSRBNFzEATUFJxXmrJexuVibaRPrK6eObGRol4E8I6ZBYQm4xmRHo1GJk8BoHSOSycStNbKaoUKSZxvhbJNbEamBfCRqNm5mueBNCqwea4TSzpBVAqARc0LZhZE1pokIDBZIq58r9+/dOWxvqazKyvgw6t+//d+/Zd/ZbI3fuadtw+Hw9XVVSFcGQ0fu/To3Llv+/tf+81/51us0VUxUaleXhqsLU5+5L77dN5/23veZ3uDX3jprye9/tLKugtQOh+1Wq/XM1aLCAJoowAgsAdUioh97P2mG+wBE9VN4A7MYDOtbYnOobhvaLpUt5JwCC1+KDxsrAWAsqqYWWlNIs57531MVbTB4Pjee381G+JzZioggDAQQBAAICAFCELgCRUBA0CIXR8jV1hEndcoWBAQDoESs6giM0tcNoIsCEBCDITYQng5quSqmimFhYPTp06c2FjrZ6kEB4zMwAwiSNoYY0irKFl17gcQOATnNSkSKr0HRVpr0loAfAi+9M65NMlCiM1yfCxDivnh3qgPRCIYgnCAuu0qIykzG0/zPO8nGUu49NjmeGvnzMkTKYR3vPnNv/Ubv/Hed3/0upOjc3fdefbsDffcc890Niu9e+jRR26/686XfONtz33B80XR7nRvlFrJrM2yjdOnvEre8+rXfPANf31lZ8zaMurScRBgoBCC8xzLFrrKjJvRphW6UnjIbOvOXzej9jeSg27bWgBoah/iVcXEGx6g9n+CYI0Q09mxi6wEEmFmY/QxKOODTUylQYu2KzvVejqddncfZj5yW/UkKY3B1frg5ptvXl9ZzfM0ClkbhYmA2rqvZ6dyMyL0og6AWGnDEusjgnNlWVVVpUgDABAqozWiUsqYJGbFIFotCJoQgQAwYKiK+cba+u7u7mQ6sYlZGS2vra08+uADv/yz//WNf/YGQ/DsZz91fX393I033XjjjdPptL+8tJqmyVL/xttvvfX22wbLoys721YrrbUwO+eUMidPnlbKXLiwOSlheS1DxKqqPEtUe0VRDgaDNl/VSgw3XLZwUH0e2kWPTiIeQS98Gk5VV15b71w6lAtdCMQ1zv85weOKQIx+NwKaJElE2NTeQvM5AAgErG2P/VcB8SEYY3Yub1ZVvRPt3zAeMM1qIG/gXpZOdqbXrednz56NWZwQqhaKGquyWp1EHc7hFlpKREbpIOzKipsfiUkgbEgma9g/gkYthFVVYUSQIURtETyzD8tLw4fu/0Qvz0F4bbQSQvi1X/3VX//lly62q9uedPLmm2++8ez1Z86cyfOcNd34pFtmizkZfeLGs6TVYrHY3dnJbNLL02I2jXsDksrz3o03nRN808kTIw9KKe29d4GRtDSV5dJgYrDBErRKFzpljNjgYLqmYKtcpRl4BMPwqcZfoaN0qUO7pLWuqirqC2jqBowxIRxv+372NS4yMyDtd45l5izJrNIaCQAUIEqMVO8/JqihkAc0rtb6ypUrzgHayO6oogR2CUMayBMzO2MTBLjr9jtOrm8QxYYFsYKvrhmO0URqeie1syidLVUpxT74ygXhqIPjVxRppRSZWk8zSN1pKXKfCTTJYeEQ2LvzDz20PBqNhktpnv/Z61//Iz/yry9cXpxZs3fffe7Zz3rGTTfdmObZ8vJykmdIBKnZ2Lhue3vbo2TWSFkkSdLr9YrZ3AcBEA+uqEJm5Pobz1UOUGlNVikVpAZfoyIAaIu9qFPFFZ/QsaFT7jQka+eiaxu0slvP7d8seNZ+HTuj+7vXMEs+J+iwWNnEgiIsAVlSmyilFEFH4waUFiFamwoC0GrcKENbW1tBwBBFtkEgYgZqunPV4QuMlDOhKuYG4NZbzo1GS8a0JFmBSEXa19h2BjtVgfWg/a4HsYtT434prbVRdeo2/qjnpkYFFChSqKThE9CEhhAVkVZrK6ury8sf/vCH//2P/fj999+X2uT0Otx49rqnPeVuY8zq2vrJ605NF/Ol1ZWl1ZXLVzZLCSpLZvOF8z6W8laLwntvbTotFrNiUXkwfTSJ7fdTrTWjYiBUSgIzSNwuiqLwDSZEGgx4d2q6uzM0S/eQuj06jhrEn5o8HDxV/CQiTFpuvKg1qqrS+iq8DZ/Gb38a1yoiIgwgMT5jtdKqXWG1IXFoD4pvpWv4Iu7t7QmAUqr0gUFprSWWBQNArXYZhAlYEc2mxdPvOnf61AlrlCJwvubUjkZCmqba1hUmWuvQhe1FpCUiCnjnQggSzfROZIeIpLmzuO/G7B9ziDYmsNR57sAYvDX6F37uZ1/2spdtbc42NvrT8fjEifUTJ04sLS0985nPTHu5F7n5ttvG89nDFy+cveH6xx57rL+0JAhceQEo5wsC7PV6k8WCQSFZkyoy5r3v+wBpW3nWSaRX0gDkHRNqIprP5/Msi1yirb/fehddrYYH23p25677z66O/LSF4Wqfdy8gXqH3/okR3IgzCBAIGi4+FkBWShGgAgTsOLxHv97YuDU9LmKkn0BE5iAktdx3BtXhCFYEBHD3nXf0+z0RCYG9c5lNONSQZ2stKmpzknwwiHMgncN1r+DIvhEPCCGAIiBUqCTWmSEw1DVSSCTCErxzwZVlMV/83u/83h/8wf8wRp8+PXr00V0P8KxnXf/85z//zjtu6/f7veHAAW/tjW0vOX392XlR9IdDAKi8Z++QJYQASIuynC0KMLZiKZ0rruy+/k//vGIZ2tTHLDMQNGYAIpZl2TSKqkmWWmMXOzCXrqLlTsvz7oM9tK3D31jjHvo6NURj7Ywcct8PDX21FXAIBnFtgwOusZLYI9aQTQJUxhRTzpJEIVLkbI6N6I0BUiE4CYAoKIDE+3AxrF1O55zG2DvSeiTnXJ5kxXzR7/eKxSIEN+hlbu7SxOzujk+t92+4/rrlpUE5nfaXB8GDD1XUtdFO5cZic85BRwlxTX0cIkpL9lleMKbHNBgiiqGSdl+r7Z6o9jkggE3sYrb44Pvf9+53vnN3d/fsdadms9nDD+8mCXzPP/q2l7zkJcPhEAW0Nai1Qs6sZsLKB1SaQIr5QmvtQqjKCgGYuSxLlaQXt3aXVlaKnb1f+8Vfe+zipdHqiXlRZIMhkGaO9oKKfSSZeTabZVnmm45a8fqjq2qMKcsyQgrjLEeAwaFdrhVoaPzXFkH7aYBjlNatKdIKlYhEF1ma1mjxdyO4DDrGSatQrqVxP6mwPp4hhBCx1zEnFjwCWG0wujCdAwFZUCEgQBPni0KLKE30JITAAjrC7AVD4MVikSbJfD43mvKkV8wnxAEEEeCOW8+N+j2jtM5TV5VGIWrdgpqJ6kRRfBw1yd6x5ayEJCQx2sDBNK56NAWkRq1w3DJQ02I2S63t5fmFR85/4L3vm89mT3vaU9/+1rfv7e0sLy///7/vG77wC59zy21PQqLIsSwAHiQIuMAeA4lSSgVXM8EAS1mWwXuLSqfpeDIbjEabV7Z/5+W//8Y3v2t1fTnr9cK8CIIkKLh/2XGohi+xVautyR5HW/rbmrzYCXgdKxLc6Zb8KcvDcQb0NZT3Ue0ev3tVwZWD41O9vkOnQgClEYGd9wjQz1MURgECJGGRAFB330UiAMR9cgqJpgK2DIHtbiXAIt67PM/d3FmTgoj4kKRmujc7s9p/2lPvHg76EHya2sV8ltrEGBUZXru7YXM2aZ9R+0ZiMoNqlgZmloZdnhUzdp5SCLGAPQhqrRaLxZXLl7cvX04zmyZGKSTCb/7mb/riF7zg+htvLCq3Nxtrm4xWRq4KwfsgzCiCwI6999Za9l4DojFBVRD5YCD4CpPeYLyofuNlv/tXb37n6vqyAG3vjvP+AIAESFgw4pSa4Fd75a3f0wrugds/Tl67LsexUvHpCUb3W8cuj+44FOxvD76q4DaZwL+pxkVEhoBYh40ksEZo25sBHu6pErEJINBqXGgePXdaITBzLFdTxlTea2tDCPNiYZTSSALwzGc8/ezpM6nRVbnQlMS+4VFq2/lj2N+zDq3s/X/W3iMwSGAGzxFdXlUVIgohM9dtpAAE2XtJrS2ms63Ny4nWd95+hy+rhx9++G9/49ePlpf7S6O98YSBltdXq9I/dnlzNFqpYkWAMdqT40oCB6ksGcAwdX42mVZlqZQClEXpHnjoEz/1M7+wubW1tDxgwSRLZ6UPgihIHYFrwaJ8MHTQVXitOcudDjly0EVuT9hK2GdE4x46+TWO7/qR3R+9lsY99PpJF8ex48CCZgEArVWeZgow/tceySIkAcC0F1BnJAAE6vJ8RKQmIS6ISmmtE/ZOa+3LRUoqVIvdYnH9idE9T3tKolSamGJRlGUxGvYRxRijSHUNODhOWA9vT4SxCUQQhgYF5irf0rmhCAESEiOw8GKx0JrOnj0LPoTgbKLvvOO2JEsRlPPeZikoPVnMmWFlY31elLGGAgOACAmAAAVZzGZWE7gAoTbur2xdfvD8pZ//1d8tmYoK+irR1u6Op/3hEhEF5tgluaWzJAVKI4f6TltbC5uCuTYNEfVx2x7nWJGKX+8K699c3cInk1ro7APdKYNPqnGPnuVTvE5ujS0RUQIayWgT+160B5GAQBDZ/0REAGqODQBoMwLtX1lYSFRN6l0nD7Ms215MNcALX/CCjbV1DC4xFiHzZUkEiEB0oMnKfneUlkj6iBALgjCzcHfCQgjB159Ep00JAKICJK1D8AopyxJgX5ULQ6rXy50LVSi9r3SaGkPA4oKfFnNBFQA4eGZWAsCokAwoFxbMwRdVWRST6XR3d/e+B+776P0PaWMubRe33XrzoiwvXNo8deY6zzCeTrK8j209XEfjQqeNAjdNd2uAWKcdQ3eDPWRQYqcLZLvpfbrycOAnDj3taxx/eFKuUSz5ODX54xntfkSCSilDGPtC1ew6nYhYYzfF9G/9SAFAGghBtHGJCLlegkEkCHPwRqmimGeJecptt9552+2GsNcfeF8ZonSQA0AE3bb+R3dzPPRcDj1WX/eAEMH9e4l/ImhYmllEWJAF0BjDFRdFkVo9Go3Y+clkbIxN8x6TmhZlxfOk10+TpCidoDChBAwhIKACIBYJPtVmb2/n8qVLFy9f3Nrd2p1OSldtnDixvrmoaPsTn/hEfzg8c+ZM6dxsUSZpDger+1p9EbEKzrmW7asLfsWmna809J2RPal7QKuw4Tgx+vRGV3de+zxXU/+fPJbxadvg8SeigAAAsw8QUKNSKlYLCgAiYeS1FAJhQCFgEAYMyFEsRWLNOilh9N4zAMa+L6CYGSPoMwSjcDKfrY6WXvTCL7YJCfDyaFjMpyGEXq8HimyWx9pGHyldhFvT+Wj+syu77WEAoJqeP7U+IwTCGMEN4pm5LIuyLJXR/eEAtdobT2dlkfb7Os2mi/l0Ok2SJE1T50pfFopAvEMIse29AiECZi6L+fnz5x999NHt7e0QAqJCxOXl1dtvv3047E/29gbDXpZlW1tbMewV8wtxmmJQjmK0ETCaBBG3gB222jb21HLgxSAgdIT+wEQe1zz60xCIY02Fa2vcQ6slXok+ZIm3r5/qZV1NuCsf0tR6z1pTYBcAyBhBQdJEltBibIUbGAmJg3AZsxWEhIQAynMIHuZFGUCNJ4tEg1I6FA6V4TLYzMw5pKkdj3ctwotf/KVJAgiul+fjyVZ/kBFR6VyW91lQlDbKIiJFZEF8ao2mirLYTiQACIBzlQgqUIBARJqUJoUCAAxIAlzGyVaEWomIgmi9YOWDCFCaIioniIBJ2g/C1aIUQmstKWIf2DvvK2RUCkFkURSL8dSV5e54Z7aYu+Btmm30eqtrawGAjH3m0+5+5zs/gKEiZAK2Vnsm5xwqZXRCiCE4BFBIQqpiiUo0qlV1tIkn1OmYtptpm6SABnAYZbTt5dvCdOI/22THodfuztYVTdWVq64fc0hYm/dqPx3dvgp+DnpAIKIIMoRIGxbYK5NprQWVIEVdgkgADIgAGKsfEREIgw8uOAZCbZXBynlhFAZXBUKNSHNXFPOpQQT2luBbvuFrVkb9QS8d9BLCiJGl2C5EYlulRoMGAIQDHnQ7K108isTmSt7XlpkAIkpgH9imCTXpYUEgIiEUZlQ1kYkAsMSEGghhog0zg2Cd2fGhKn0IzmaJc847h9qQ0uzceLK3vb3ty0ondmUwsGmitQ4gi8ViXlbryyt33nbTBz78QN5nInTOaZsDEkQeuyhwgoBA8XYktIRt+wY9czc1iJ0Bxzn+3e/CQZvqas7WsYrv6PGf9visC26spYHmKVRVFdEtSBItTEQQFCAURCEURseMCECotCEUEAJlZvNZ6UIQLhiM92ISJFgaDuaz6dIg293deeFzn337bU+a7Fwe9k8pBUqpxBhrtRAiKEQFsXIBuPtw5WD4th2ttV3bCSEgYmTMBdlXJ3XovhFcAECNUb47MSNmlrLc11IQRQfQGDOfTo2m1GZVUV64sLm9eaVYLBBxMFpaWlrK0jwIS6wzspbHk9XV1Wc985kf/NAD7H1irPOBUup0GIf4A4jQGAYxrrDfRwSaHbUrrEeBCocCSt0nA0ea8cJBSW0PO6qJP1PjcyC4MQlOAATgnYMsS4yp2Vwk2ogU23KggCoqZ601JgWAwrkqBBYA7wMqZWzS6yGAsiawzGaz0WhkVFhMds6dOfHVX/Gll88/dHJtBTksDZZJvDHGWsMIHA44FkcVbfd9q3WYOQiXrvIxOdBIMyF10WTR9ANCxhpng3RMNHQ+X2RZFjkMY6lgWbnA3hjlqzArp9tXtjYvbs7n8+FgsLKyMhqNev2+1mZWLCrngFBbY5Isz/HcuRvPXre2ubM3XF73lWdmFlSmY+khKsLGD6Mq1AyKh5gVu/fbDZe2c3foibUHY+OrHRXQoxr3kOz+f0bjYqwiUhi3J2bo9XNSECPmiMIIhLGIFhBEmRTQFFXw3itj07xXehnPitPX37Q3XbiANtEueGNzQBV8Qd4xwz/9nu/cvPDo6tJgkFlFbBBRaaNiHQggUA1BOU5qu09WGghV9NiC1KUQMforgb040FopJU3Dj/oMiIj7E9zevohEiUizxFjNwUdCl5jUcj4wwoULF86fP18VRZ7nJ0+sLy0tZ1mWpJnWRlnTN7ryYVGV4INJrK142B/c87Sn/+Gr/3Sw5DUBSiCy9bqKUoWECERkjNEapSpjYCEKXMun3b3UbrSrfRTQkd1DGvfQ0+uerfv1owL9mRqfO7ZGZtaGEKHX64nEtkksCAIQpO5wKqLEh/+3t2vpseOowudR1VXd9zUztscvJsZJDE4gmyCBxMJACAIJkBAgkNjw97LgsYgJAhLbSSCBhSGSSYKTBUFjxpnH9cwd31dXV9VhUbd72hNPmIXjWo369tzuW336PL5zzncG3QEpHo+n92czC2qwfOrkud6NN9589/YHt957X4hCFTpGk4r7u8OTBf3yFz+L5Ziix+Byu5xrVbpZr1PUbpwkxZiqJ9P+NZvedvUaqZWGYQUkBeaKWESaDrMEhUYfhBk5TXdftEkhtCl5DuxymvJczubz+RwRFbFzbj4df7C+Xs7mEkK/21tZWRkMBt1uX2dZlpmk2yl56zGwUtair0BNp19+7tlX/vinsiyVWYyMbCbKIzIiCAFJaj0iL9F775yrqqpx4rGOzz6JNz3Uxz3qCBzhDxwl0I9qPabWHUKKMUFIkOcmhCpCtgBhhSNIRAkCDGiyYnt3hKxWV1c/t3Jya3jv+p/fuvmPd96//eG90f6k9J2OzbtZ5cvRaJ8BvvvClW9f+fq1a9fOrp7qFplU5WB12buSmZFSpaykeY6AlOAzaEH0jdVrIPoHcst40E548Dh9CFGCUnV5FKZkSUwOcYos6y9pXpXZZBxCQIHCmtlstrW1ubOzMx6Py/F0abl//uy53mDArImIlep0OsoYH4KP4iVGEWDizESsdFZlzGdPr15YO7853CXIQaCqKmNVhCDSqFIgIkCMEeoemJAchpSsbvDaBYjWost9qMZta9CjjhylceFRSy189oJLEhGE0mxEAiQCzU0TPUWEAEIgURKBDURS55441+32NzY3X37pV9euv353azszxnl/YnU1bG8753rGjCf3GeHFb3ztey++8PabN04vD6Kf9zvLTHB/tLe8vEwMkPJtgsxQW/ODYhp4MOZIcpae7kLg0vmMIYREn7Fw7OpuxLZoSgRcSO/CoB7aiKqqyrJMVQ27w+GdO3cmk4nN9NNPXSQimyV+/o5SilhXMQTnBCEkmIUpYxPiYtCuUgqZ1tbWtndHRBRE5vOpOcQALgmiiy4suj4Td0GSXar7QOHYarX9abM/zcGHyuVnoWibdbge95FfLI1P8L7q9/uT/T0A0FoXRcGkfQil891uwTobjUe6m1+8eElL5+bNd25cf+Of/7q9P5kCUmY7ESErzO7ePjPneV650pXx8qW1n/zoh5v//Wh1ZUkpZTIl0ed53ul0NKM1RYLAUOo6b1zkjdry2ngFjfWso8lacyQqHUBEZEiVjT6EQK7ySpFnlMjMyCwgEKI2NrHopZyq954gooB3ldHZfDpeX1/f3twCgJWlQdGxxuhEgG6sZUXIJIQ+BmtMSAafCSJUzsUYidlmemnQ29wafuubV269+979/b3ByTMFFc45ZoWL5s2k9YMIdrvdBWG1tVxPd0qobZp1leC5VPImIkk3S92PEOo56w18Cy1GW2klvZudTCcfgiOasK/Nkks1q25sjRk9tGJrHmpjBJxzj9XHRUSTLQrdnXNda4zJR/tTcOWly8+Mq+q3L7/y97/eujfc390duRh1ZlHpKBhjmE7nmcndfDwZ32eRQQ4//+mPx/d2ECKhKEattdGstVaKSKvkoaaLJ1dVRBK21r63tv5Ifxwu0mgFPYd+GkaRkBhppHEVyrJMA8WJKKQZYLKoENgZbm1u3B2NRjHGomO7vWLQ7eXGWmOMtcZaUgqZIrEgpfyIAFIagkFEilWMnGWx8kWR57P5mTNnPrpzFwA0cdV2rPHAm098tKpeWA8vwjrZ2/ZBP11h4cMwgUP/8n9V3iGX+vggQ/tMInocgtu8WIiY21xrI4L9/mBazo0xly4/4wB+94drv3/t1Y/v7uTZQCIRa5MbQC59VboqhKBUNh7v9ztmNp4hwPd/8J0nz53ZG34MKJkim6nc6NTaoDKrWCejnWQuwbGUiE7rvEPz+n5yNTd/8FAXfgYiYqqJT1bbS2St0BMyB0mpY0xkMEQUEx1lDCGE+WyysbGxN7xnMnXy5Eqe2zzPi9zqhpAOF80/ICJwEEQCpMGlqIOgEvDiEHNrrdFPXFj79/qdqpxRli+GyLZ+ASZIpy5ZpLpdJ52WksB1Eyi1My+fsvBBVEEeBiwex1wfX9ybh9V+r5j5MQVniJiU04LHIIBzrlN0e92lv7z1t99cvfrhf7aKJattj5SJAaNgFaIPoUpmS2uTZZMxlNMZAnzp0vnnn3t2f7htUNAYk5G11lprspy1JlJAnIpearr4g/tpAMi27EJr79p5TkQkZgAgQKLF6EAQAYCQuHgRIogSBTEGER8DER+4y4mx3lfOubsbd8rprFPYEydWlvsDImKiNI8SmZApIqBIiAKEEaJGjYiAjIgkJCyaFQsE9kqRtVme5xefuPA6vF1VVaYttMKpFAenn9MM4E1GP70lAJBYwhvnHmrxPUoFNgqyESB5ENyF44mstIK/Y6rb9vfHms38cfHjIsYYEFFrjUgxxvH9+ZOff+q1V6+/9Our/RPdL3zx6fWd7SDonfM+SmRgJUjAipk1q3k5W+r1d4ebHYavfuX58XBncObUbDLp9wqdZSqzrA3pDIijoEQAWARIiJi6LVAg5Q7a+3uonK+prW4eieLF3K8kuBKTDU9dvpAqgpVSiewECAEQmaGe+OW9j85Np9OUMux28o7NFbNSZHSWWUOkOE0FU0qICTHUeFXDCgVCHAlIe4zKmFB5JCmK4vTp0zbLQmpk8hGlbsFfOAwAAKnIppGSdklN2oFjCtAh/XrUkePLQ/vSx3RRmtOUUv8D6UfyYX/7Qv0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=232x413 at 0x25CEF3254F0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. 打开本地图片\n",
    "from PIL import Image\n",
    "Image.open(\"./images/nazha_1.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "aad99150",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<_io.BufferedReader name='./images/nazha_1.jpg'>\n"
     ]
    }
   ],
   "source": [
    "# 2. 打开本地图片二进制\n",
    "print(open('./images/nazha_1.jpg', 'rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "18bb0d60",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 准备工作\n",
    "import requests\n",
    "API_key = 'DxRNO2q3i_O9UJyoYvAgM14E_yeG2esC'\n",
    "API_secret = 'iQ52sLz3bfNML4ptN1zgUovlQLOpz6ed'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8302f213",
   "metadata": {},
   "outputs": [],
   "source": [
    "def face_detect(API_key,API_secret,image_path):\n",
    "    \"\"\"该函数为调用face++ face_detect接口\"\"\"\n",
    "    base_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'\n",
    "    files = {'image_file': ('./images/nazha_1.jpg', open('./images/nazha_1.jpg', 'rb'), 'multipart/form-data')}\n",
    "    payload = {\n",
    "            'api_key':API_key,\n",
    "            'api_secret':API_secret\n",
    "            }\n",
    "    \n",
    "\n",
    "    r = requests.post(base_url, params = payload,files = files )\n",
    "    return r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "999036b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648365806,f8bb649f-b799-40f2-a2ca-b0ffd52dfc8c',\n",
       " 'time_used': 89,\n",
       " 'faces': [{'face_token': 'd5b061d147184f82741835a6e997339f',\n",
       "   'face_rectangle': {'top': 139, 'left': 71, 'width': 107, 'height': 107}}],\n",
       " 'image_id': 'sg1viS8223QPt5eMZ1t2lQ==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 测试\n",
    "face_detect(API_key,API_secret,'./images/nazha_1.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e321c5a1",
   "metadata": {},
   "source": [
    "# 准备人脸元数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4a0fa749",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648366052,612c2d4b-685f-47f9-81ef-4170661333b5',\n",
       " 'time_used': 80,\n",
       " 'faces': [{'face_token': '221508887aa2e79ae5586baf9307032b',\n",
       "   'face_rectangle': {'top': 139, 'left': 71, 'width': 107, 'height': 107}}],\n",
       " 'image_id': 'sg1viS8223QPt5eMZ1t2lQ==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face_detect(API_key,API_secret,'./images/nazha_1.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d8e7090e",
   "metadata": {},
   "outputs": [],
   "source": [
    "nazha_meta_data = face_detect(API_key,API_secret,'./images/nazha_1.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "38d39134",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'286d947f5f09164d1b94462f352f6fc8'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nazha_meta_data_face_token = nazha_meta_data['faces'][0]['face_token']\n",
    "nazha_meta_data_face_token"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbea794e",
   "metadata": {},
   "source": [
    "# 给出人脸图片进行相似度查询"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "542320ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648366237,d0fd129d-e761-40bd-b254-c16fe093ceff',\n",
       " 'time_used': 99,\n",
       " 'faces': [{'face_token': '22b1dca09d4155c02f3835ed514e69b1',\n",
       "   'face_rectangle': {'top': 139, 'left': 71, 'width': 107, 'height': 107}}],\n",
       " 'image_id': 'sg1viS8223QPt5eMZ1t2lQ==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. 准备测试人脸图片 face2\n",
    "\n",
    "face_detect(API_key,API_secret,'./images/nazha_2.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "68ad54d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'425ab7b39f364c8ccd3cc0cb64806528'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face02_token = face_detect(API_key,API_secret,'./images/nazha_2.jpg')['faces'][0]['face_token']\n",
    "face02_token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2238d1d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2. 人脸对比\n",
    "\n",
    "compare_url = 'https://api-cn.faceplusplus.com/facepp/v3/compare'\n",
    "\n",
    "payload = {\n",
    "    'api_key':API_key,\n",
    "    'api_secret':API_secret,\n",
    "    'face_token1':nazha_meta_data_face_token,\n",
    "    'face_token2':face02_token\n",
    "}\n",
    "r = requests.post(compare_url,params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d148f6f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648366325,10af39d1-ec6d-46bd-9fe4-ce081545925d',\n",
       " 'time_used': 476,\n",
       " 'confidence': 97.389,\n",
       " 'thresholds': {'1e-3': 62.327, '1e-4': 69.101, '1e-5': 73.975}}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "52b1b146",
   "metadata": {},
   "outputs": [],
   "source": [
    " # 成功！"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af3bcd6c",
   "metadata": {},
   "source": [
    "# 应用"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d150fd1",
   "metadata": {},
   "source": [
    "* 尝试设计宿舍人脸识别系统"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6aae905f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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